io.github.TsvetanG2/cognigy-ai-mcp-management-server

NPM · COGNIGY-AI-MCP-MANAGEMENT-SERVER · SCANNED AUG 3

MCP server for Cognigy.AI - 132 tools to build, configure & operate conversational AI agents

Available components

npm · cognigy-ai-mcp-management-server 66

+5 this week 66 66 Trust /100

Trust breakdown (6 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →

Supply Chain Security86

No malware found by supply-chain analysis.Pass
Only part of the dependency tree could be resolved (94 of 98), so this covers what we could see, not the whole tree.Partial
No install/post-install scripts declared.Pass
Only part of the dependency tree could be resolved (94 of 98), so this covers what we could see, not the whole tree. View diagnostics → Partial

Provenance & Transparency45

Source repository is publicly reachable at the declared URL. View diagnostics → Pass
Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
Clear OSI-approved license (MIT).Pass
Actively maintained (last published 6 days ago).Pass
Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail

Schema Quality & AI Usability79

AI-judged instruction clarity (excellent).Pass
Context-footprint check failed: tool/resource definitions use about 14859 tokens (~107/item across 138 items; 138 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
Usage-examples check failed: none of the tools include examples. See how to fix → Fail

Stability & Change Management0

Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified

Tool Coverage100

100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
100% of tool parameters carry a description.Pass

Capabilities100

Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass

Unverified: 1 category

A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.

Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

npm · cognigy-ai-mcp-management-server

Claude Codex opencode OpenClaw Hermes Other

# add to Claude Code

claude mcp add tsvetang2-cognigy-ai-mcp-management-server -- npx -y cognigy-ai-mcp-management-server

# add to Codex CLI

codex mcp add tsvetang2-cognigy-ai-mcp-management-server -- npx -y cognigy-ai-mcp-management-server

// opencode.json

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "tsvetang2-cognigy-ai-mcp-management-server": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "cognigy-ai-mcp-management-server"
      ],
      "enabled": true
    }
  }
}

# add to OpenClaw

openclaw mcp add tsvetang2-cognigy-ai-mcp-management-server --command npx --arg -y --arg cognigy-ai-mcp-management-server

# ~/.hermes/config.yaml

mcp_servers:
  tsvetang2-cognigy-ai-mcp-management-server:
    command: "npx"
    args: ["-y", "cognigy-ai-mcp-management-server"]

// mcp.json

{
  "mcpServers": {
    "tsvetang2-cognigy-ai-mcp-management-server": {
      "command": "npx",
      "args": [
        "-y",
        "cognigy-ai-mcp-management-server"
      ]
    }
  }
}

Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

3 Aug 26 +38
- Known CVEs: unverified → partial ▲ security
- Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window). security
- Tool coverage: unverified → 100 ▲ functional
- MCP protocol: unverified → pass ▲ functional
- Dependency health: unverified → partial ▲ functional
2 Aug 26 −26
- Known CVEs: partial → unverified ▼ security
- Malware scan: unverified → pass ▲ security
- Stability: Stability not yet verified: we do not have a sandbox capture of the MCP schema this version of the package serves yet. security
- Dependency health: partial → unverified ▼ functional
- Tool coverage: 100 → unverified ▼ functional
- Capabilities: pass → unverified ▼ functional
- First check of Schema quality: unverified functional
1 Aug 26 +18
- Provenance: unverified → fail ▼ security
- GHSA-frvp-7c67-39w9 no longer affects this package ▲ security
- Install scripts: unverified → pass ▲ security
- Known CVEs: unverified → partial ▲ security
- Maintenance: unverified → pass ▲ functional
- License: unverified → pass ▲ functional
- Dependency health: unverified → partial ▲ functional
- Licence: MIT functional
31 Jul 26 −5
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
28 Jul 26 −20
- Install scripts: pass → unverified ▼ security
- Known CVEs: fail → unverified ▼ security
- Provenance: fail → unverified ▼ security
- GHSA-frvp-7c67-39w9 no longer affects this package ▲ security
- Maintenance: pass → unverified ▼ functional
- Dependency health: partial → unverified ▼ functional
- License: pass → unverified ▼ functional
- Licence: MIT functional
27 Jul 26 61

First indexed and scored.

Show 2 earlier entries Hide earlier entries

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 3 Aug 2026 · Analysed npm/[email protected]

Provenance none

Ecosystem: npm · Outcome: none

Dependencies 94 packages

94 packages in the resolved dependency tree · 94 deprecated · 29 stale.

The dependency tree was only partially resolved, so these counts may be incomplete.

MCP tools — 138 exposed · ~14,859 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.

Tool Tokens

merge_contact_profiles ~118

Merges two Cognigy.AI contact profiles into one. The source profile data is merged into the target, and all contact IDs are combined. Use when the same user has multiple profiles. MUTATING: Set dryRun=false to merge.

Input Output Examples

Name	Type	Req	Description
dryRun	boolean	—	If true (default), validates without merging. Set to false to actually merge.
sourceProfileId	string	yes	The source profile ID (will be merged into target)
targetProfileId	string	yes	The target profile ID (will receive the merged data)

No output schema declared.

No examples provided.

merge_package ~185

Merges a package into a Cognigy.AI project, importing selected resources. Use localeMapping to map package locales to project locales. MUTATING: Set dryRun=false to merge. Async operation.

Input Output Examples

Name	Type	Req	Description
dryRun	boolean	—	If true (default), validates without merging. Set to false to actually merge. WARNING: This modifies the target project!
localeMapping	array	yes	Mapping of package locales to project locales
packageId	string	yes	The package ID to merge
pollIntervalMs	integer	—	How often to check task status (1-10 seconds, default 3)
resourceIds	array	yes	Array of resource IDs from the package to import
strategies	array	—	Optional conflict resolution strategies per resource type
timeoutMs	integer	—	Maximum time to wait for merge (5-600 seconds, default 180)

No output schema declared.

No examples provided.

move_node ~180

Moves a node to a new position in a Cognigy.AI flow. MUTATING: This reorganizes the flow structure. Use dryRun=true (default) to validate first. Moving nodes affects execution order.

Input Output Examples

Name	Type	Req	Description
dryRun	boolean	—	If true (default), validates the operation without moving. Set to false to actually move the node.
flowId	string	yes	The flow ID containing the node
mode	string	yes	How to position relative to target: append (as next sibling), prepend (as previous sibling), insertChildAt (as child at position), insertAfter, insertBefore
nodeId	string	yes	The ID of the node to move
position	integer	—	Position index when using insertChildAt mode
targetNodeId	string	yes	The ID of the target node to move relative to

No output schema declared.

No examples provided.

package_snapshot ~137

Packages a Cognigy.AI snapshot for download or transfer. Creates a downloadable package from the snapshot. Use create_snapshot_download_link after packaging to get the download URL. MUTATING: Set dryRun=false to package. Async operation.

Input Output Examples

Name	Type	Req	Description
dryRun	boolean	—	If true (default), validates without packaging. Set to false to actually package.
pollIntervalMs	integer	—	How often to check task status (1-10 seconds, default 3)
snapshotId	string	yes	The snapshot ID to package
timeoutMs	integer	—	Maximum time to wait for packaging (5-600 seconds, default 120)

No output schema declared.

No examples provided.

promote_snapshot ~139

Promotes a Cognigy.AI snapshot for deployment by packaging it and generating a download link. Use this to prepare a snapshot for transfer to another environment. MUTATING: Set dryRun=false to package. Async operation.

Input Output Examples

Name	Type	Req	Description
dryRun	boolean	—	If true (default), validates without packaging. Set to false to actually package and generate download link.
pollIntervalMs	integer	—	How often to check task status (1-10 seconds, default 3)
snapshotId	string	yes	The snapshot ID to promote
timeoutMs	integer	—	Maximum time to wait for packaging (5-600 seconds, default 180)

No output schema declared.

No examples provided.

remove_contact_id ~100

Removes a contact ID from a Cognigy.AI contact profile. Use this when a user identifier should no longer be associated with a profile. MUTATING: Set dryRun=false to remove.

Input Output Examples

Name	Type	Req	Description
contactId	string	yes	The contact ID to remove from the profile
dryRun	boolean	—	If true (default), validates without removing. Set to false to actually remove.
profileId	string	yes	The contact profile ID to modify

No output schema declared.

No examples provided.

reset_context ~97

Resets the context for a Cognigy.AI session, clearing all stored state. Use this to start a fresh conversation or clear user data during testing.

Input Output Examples

Name	Type	Req	Description
entrypoint	string	yes	The entrypoint (project or snapshot ID)
flowReferenceId	string	yes	The flow reference ID
sessionId	string	yes	The session ID to reset context for
userId	string	yes	The user ID for the session

No output schema declared.

No examples provided.

restore_snapshot ~147

Restores a snapshot to its Cognigy.AI project, replacing the current configuration. DESTRUCTIVE: Current project state will be overwritten with the snapshot's state. Use dryRun=true (default) to validate first. Async operation.

Input Output Examples

Name	Type	Req	Description
dryRun	boolean	—	If true (default), validates without restoring. Set to false to actually restore. WARNING: This replaces the current project configuration!
pollIntervalMs	integer	—	How often to check task status (1-10 seconds, default 3)
snapshotId	string	yes	The snapshot ID to restore
timeoutMs	integer	—	Maximum time to wait for restore (5-600 seconds, default 180)

No output schema declared.

No examples provided.

run_knowledge_connector ~100

Triggers a Cognigy.AI knowledge connector to run immediately. Pulls content from the external source and creates/updates knowledge chunks. MUTATING: Set dryRun=false to run.

Input Output Examples

Name	Type	Req	Description
connectorId	string	yes	The knowledge connector ID to run
dryRun	boolean	—	If true (default), validates without running. Set to false to actually run.
knowledgeStoreId	string	yes	The knowledge store ID containing the connector

No output schema declared.

No examples provided.

run_playbook ~187

Runs a Cognigy.AI playbook test scenario against a flow. MUTATING: This executes test assertions. Use dryRun=true (default) to validate first. Returns pass/fail results with assertion details.

Input Output Examples

Name	Type	Req	Description
dryRun	boolean	—	If true (default), validates without running. Set to false to actually run the playbook.
entrypoint	string	yes	The snapshot or project ID to run against
flowId	string	yes	The reference ID of the flow to test
localeId	string	yes	The reference ID of the locale
playbookId	string	yes	The playbook ID to run
pollIntervalMs	integer	—	How often to check task status (1-10 seconds, default 3)
timeoutMs	integer	—	Maximum time to wait for playbook completion (5-300 seconds, default 120)

No output schema declared.

No examples provided.

run_regression ~169

Runs all Cognigy.AI playbooks in a project as a regression test suite. MUTATING: This executes tests. Use dryRun=true (default) to preview. Returns pass/fail summary with failing playbooks highlighted.

Input Output Examples

Name	Type	Req	Description
dryRun	boolean	—	If true (default), lists playbooks without running. Set to false to actually run.
entrypoint	string	—	Optional snapshot ID. If not provided, uses the project as entrypoint.
flowId	string	yes	The flow reference ID to test against
localeId	string	yes	The locale reference ID
projectId	string	yes	The project ID to run regression tests for
timeoutPerPlaybook	integer	—	Timeout per playbook in ms (10-300 seconds, default 60)

No output schema declared.

No examples provided.

score_utterance ~144

Scores a test utterance against a Cognigy.AI flow's trained NLU intents. Returns the best matching intent with confidence score. Use this to quickly test if an utterance would be recognized correctly.

Input Output Examples

Name	Type	Req	Description
flowId	string	yes	The flow ID to score against (will be converted to reference ID)
localeId	string	—	Optional locale ID (will use flow's default if not provided)
projectId	string	yes	The project ID containing the flow
threshold	number	—	Minimum score threshold to include in results (0-1, default 0.4)
utterance	string	yes	The test utterance to score

No output schema declared.

No examples provided.

search_nodes ~93

Searches for nodes in a Cognigy.AI flow by text content. Finds nodes containing the search term in their configuration (messages, conditions, code, etc.). Use this to locate specific content within large flows.

Input Output Examples

Name	Type	Req	Description
flowId	string	yes	The flow ID to search within
localeId	string	yes	The locale ID to search in
query	string	yes	The search text to find in node content

No output schema declared.

No examples provided.

search_resources ~124

Searches across all Cognigy.AI resources in the organization. Finds flows, intents, endpoints, functions, playbooks, and more by name or content. Powerful for discovering resources across projects.

Input Output Examples

Name	Type	Req	Description
limit	number	—	Maximum number of results to return (default: 25, max: 100)
projectId	string	—	Filter results to a specific project
query	string	yes	Search query string
resourceTypes	array	—	Filter by resource types (defaults to all types)
skip	number	—	Number of items to skip for pagination

No output schema declared.

No examples provided.

set_contact_profile_schema ~96

Sets the contact profile schema for a Cognigy.AI project. Defines what custom fields can be stored in contact profiles. MUTATING: Set dryRun=false to update.

Input Output Examples

Name	Type	Req	Description
dryRun	boolean	—	If true (default), validates without updating. Set to false to actually update.
projectId	string	yes	The project ID to set the profile schema for
schema	array	yes	Array of schema field definitions

No output schema declared.

No examples provided.

stop_function_instance ~89

Stops a running Cognigy.AI Function instance. Use this to cancel a long-running or stuck function. MUTATING: Set dryRun=false to stop.

Input Output Examples

Name	Type	Req	Description
dryRun	boolean	—	If true (default), validates without stopping. Set to false to actually stop.
functionId	string	yes	The function ID
functionInstanceId	string	yes	The function instance ID to stop

No output schema declared.

No examples provided.

test_llm_connection ~66

Tests the connection to a Cognigy.AI large language model provider. Validates that the credentials are correct and the provider is reachable. Use this to verify LLM setup before using it in flows.

Input Output Examples

Name	Type	Req	Description
largeLanguageModelId	string	yes	The LLM ID to test

No output schema declared.

No examples provided.

train_intents ~184

Trains the NLU model for a Cognigy.AI flow. MUTATING: This triggers model training. Use dryRun=true (default) to validate first. Training is async - this tool polls until completion or timeout.

Input Output Examples

Name	Type	Req	Description
dryRun	boolean	—	If true (default), validates without training. Set to false to actually train.
flowId	string	yes	The flow ID to train intents for
localeId	string	—	Specific locale to train. If omitted, trains all locales.
mode	string	—	Training mode: 'full' for complete retraining, 'quick' for incremental updates
pollIntervalMs	integer	—	How often to check task status (1-10 seconds, default 2)
timeoutMs	integer	—	Maximum time to wait for training to complete (5-300 seconds, default 60)

No output schema declared.

No examples provided.

trigger_function ~89

Triggers a Cognigy.AI Function to run immediately. Creates a new function instance that executes the function code. MUTATING: Set dryRun=false to trigger.

Input Output Examples

Name	Type	Req	Description
dryRun	boolean	—	If true (default), validates without triggering. Set to false to actually trigger.
functionId	string	yes	The function ID to trigger
input	object	—	Input parameters for the function

No output schema declared.

No examples provided.

unmerge_contact_profiles ~100

Splits a merged Cognigy.AI contact profile back into separate profiles. Use when profiles were incorrectly merged. MUTATING: Set dryRun=false to unmerge.

Input Output Examples

Name	Type	Req	Description
contactId	string	yes	The contact ID to extract into a separate profile
dryRun	boolean	—	If true (default), validates without unmerging. Set to false to actually unmerge.
profileId	string	yes	The merged profile ID to split

No output schema declared.

No examples provided.

update_analytics_record ~103

Updates Cognigy.AI analytics records for a session. Use this to add custom tracking properties to conversation analytics. MUTATING: Set dryRun=false to update.

Input Output Examples

Name	Type	Req	Description
dryRun	boolean	—	If true (default), validates without updating. Set to false to actually update.
projectId	string	yes	The project ID
properties	object	yes	Custom analytics properties to set
sessionId	string	yes	The session ID to update analytics for

No output schema declared.

No examples provided.

update_connection ~102

Updates an existing Cognigy.AI connection. Use this to change connection name or update credential values. MUTATING: Set dryRun=false to update.

Input Output Examples

Name	Type	Req	Description
connectionId	string	yes	The connection ID to update
dryRun	boolean	—	If true (default), validates without updating. Set to false to actually update.
fields	object	—	Connection field values to update as key-value pairs
name	string	—	New name for the connection

No output schema declared.

No examples provided.

update_contact_profile ~106

Updates an existing Cognigy.AI contact profile. Use this to modify stored user data or GDPR consent. MUTATING: Set dryRun=false to update.

Input Output Examples

Name	Type	Req	Description
acceptedGDPR	boolean	—	Update GDPR consent status
dryRun	boolean	—	If true (default), validates without updating. Set to false to actually update.
profile	object	—	Profile data to update (merges with existing)
profileId	string	yes	The contact profile ID to update

No output schema declared.

No examples provided.

update_extension ~97

Updates Cognigy.AI Extension settings like trusted code flag. Use this to enable/disable full Node.js API access. MUTATING: Set dryRun=false to update.

Input Output Examples

Name	Type	Req	Description
dryRun	boolean	—	If true (default), validates without updating. Set to false to actually update.
extensionId	string	yes	The extension ID to update
trustedCode	boolean	—	Enable trusted code execution (allows full Node.js API access)

No output schema declared.

No examples provided.

update_extension_package ~98

Updates a Cognigy.AI Extension with a new package version from a URL. Use this to upgrade an extension to a new version. MUTATING: Set dryRun=false to update.

Input Output Examples

Name	Type	Req	Description
dryRun	boolean	—	If true (default), validates without updating. Set to false to actually update.
extensionId	string	yes	The extension ID to update
url	string	yes	URL to the new extension package (.tar.gz)

No output schema declared.

No examples provided.

update_function ~115

Updates an existing Cognigy.AI Function. Use this to change code, name, or parameters. MUTATING: Set dryRun=false to update.

Input Output Examples

Name	Type	Req	Description
code	string	—	Updated function code
description	string	—	New description
dryRun	boolean	—	If true (default), validates without updating. Set to false to actually update.
functionId	string	yes	The function ID to update
name	string	—	New name for the function
parameters	object	—	Updated parameters schema

No output schema declared.

No examples provided.

update_handover_provider ~116

Updates an existing Cognigy.AI handover provider. Use this to change settings or enable/disable the provider. MUTATING: Set dryRun=false to update.

Input Output Examples

Name	Type	Req	Description
dryRun	boolean	—	If true (default), validates without updating. Set to false to actually update.
enabled	boolean	—	Enable or disable the provider
name	string	—	New name for the provider
providerId	string	yes	The handover provider ID to update
settings	object	—	Updated provider settings

No output schema declared.

No examples provided.

update_intent ~227

Updates an existing intent in a Cognigy.AI flow. MUTATING: This modifies the intent. Use dryRun=true (default) to validate first. After updating, call train_intents to retrain the NLU model.

Input Output Examples

Name	Type	Req	Description
condition	string	—	New CognigyScript condition
confirmationSentences	array	—	New confirmation sentences (replaces existing)
description	string	—	New description
disambiguationSentence	string	—	Sentence shown when disambiguating between intents
dryRun	boolean	—	If true (default), validates without updating. Set to false to actually update.
flowId	string	yes	The flow ID containing the intent
intentId	string	yes	The ID of the intent to update
isDisabled	boolean	—	Whether the intent is disabled
localeId	string	—	Locale ID for locale-specific updates
name	string	—	New intent name
rules	array	—	New rule patterns (replaces existing)
tags	array	—	New tags array (replaces existing)

No output schema declared.

No examples provided.

update_knowledge_chunk ~124

Updates an existing Cognigy.AI knowledge chunk. If text is changed, the chunk will be re-embedded. MUTATING: Set dryRun=false to update.

Input Output Examples

Name	Type	Req	Description
chunkId	string	yes	The knowledge chunk ID to update
dryRun	boolean	—	If true (default), validates without updating. Set to false to actually update.
knowledgeStoreId	string	yes	The knowledge store ID
sourceId	string	yes	The knowledge source ID containing the chunk
text	string	—	New text content (will be re-embedded)

No output schema declared.

No examples provided.

update_knowledge_connector ~103

Updates an existing Cognigy.AI knowledge connector. Use this to change settings or name. MUTATING: Set dryRun=false to update.

Input Output Examples

Name	Type	Req	Description
connectorId	string	yes	The knowledge connector ID to update
dryRun	boolean	—	If true (default), validates without updating. Set to false to actually update.
knowledgeStoreId	string	yes	The knowledge store ID containing the connector
name	string	—	New name for the connector

No output schema declared.

No examples provided.

update_knowledge_source ~112

Updates an existing Cognigy.AI knowledge source. Use this to change name or description. MUTATING: Set dryRun=false to update.

Input Output Examples

Name	Type	Req	Description
description	string	—	New description
dryRun	boolean	—	If true (default), validates without updating. Set to false to actually update.
knowledgeStoreId	string	yes	The knowledge store ID containing the source
name	string	—	New name for the source
sourceId	string	yes	The knowledge source ID to update

No output schema declared.

No examples provided.

update_knowledge_store ~98

Updates an existing Cognigy.AI knowledge store. Use this to change name or description. MUTATING: Set dryRun=false to update.

Input Output Examples

Name	Type	Req	Description
description	string	—	New description
dryRun	boolean	—	If true (default), validates without updating. Set to false to actually update.
knowledgeStoreId	string	yes	The knowledge store ID to update
name	string	—	New name for the knowledge store

No output schema declared.

No examples provided.

update_llm ~145

Updates an existing Cognigy.AI large language model configuration. Use this to change name, description, credentials, or provider settings. MUTATING: Set dryRun=false to update.

Input Output Examples

Name	Type	Req	Description
connectionId	string	—	New connection ID for credentials
description	string	—	New description
dryRun	boolean	—	If true (default), validates without updating. Set to false to actually update.
isDefault	boolean	—	Set as the default LLM
largeLanguageModelId	string	yes	The LLM ID to update
name	string	—	New name for the LLM
providerConfig	object	—	Provider-specific configuration updates

No output schema declared.

No examples provided.

update_nlu_connector ~108

Updates an existing Cognigy.AI NLU connector. Use this to change name or update type-specific settings. MUTATING: Set dryRun=false to update.

Input Output Examples

Name	Type	Req	Description
dryRun	boolean	—	If true (default), validates without updating. Set to false to actually update.
name	string	—	New name for the NLU connector
nluConnectorId	string	yes	The NLU connector ID to update
settings	object	—	Type-specific settings to update

No output schema declared.

No examples provided.

update_node ~198

Updates an existing node in a Cognigy.AI flow. MUTATING: This modifies the node. Use dryRun=true (default) to validate first. Only provided fields are updated; others remain unchanged.

Input Output Examples

Name	Type	Req	Description
analyticsLabel	string	—	Label used in analytics reporting
comment	string	—	New developer comment/note
config	object	—	Node-specific configuration to update. Structure depends on node type. Only provided fields are updated.
dryRun	boolean	—	If true (default), validates the operation without updating. Set to false to actually update.
flowId	string	yes	The flow ID containing the node
isDisabled	boolean	—	Whether the node is disabled (skipped during execution)
label	string	—	New display label for the node
localeId	string	—	Locale ID if updating locale-specific content
nodeId	string	yes	The ID of the node to update

No output schema declared.

No examples provided.

upload_extension ~106

Uploads a new Cognigy.AI Extension from a URL. The extension package must be a .tar.gz file. This is an async operation that polls until complete. MUTATING: Set dryRun=false to upload.

Input Output Examples

Name	Type	Req	Description
dryRun	boolean	—	If true (default), validates without uploading. Set to false to actually upload.
projectId	string	yes	The project ID to upload the extension to
url	string	yes	URL to the extension package (.tar.gz)

No output schema declared.

No examples provided.

upload_package ~155

Uploads a package file to a Cognigy.AI project. Use this to import a previously downloaded package or transfer resources between environments. MUTATING: Set dryRun=false to upload. Async operation.

Input Output Examples

Name	Type	Req	Description
dryRun	boolean	—	If true (default), validates the file exists without uploading. Set to false to actually upload.
filePath	string	yes	Local file path to the package file
pollIntervalMs	integer	—	How often to check task status (1-10 seconds, default 3)
projectId	string	yes	The target project ID to upload the package to
timeoutMs	integer	—	Maximum time to wait for upload and processing (5-600 seconds, default 180)

No output schema declared.

No examples provided.

upload_snapshot_package ~179

Uploads a snapshot package file to a Cognigy.AI project. Use this to restore a previously downloaded snapshot or transfer a snapshot between environments. MUTATING: Set dryRun=false to upload. Async operation.

Input Output Examples

Name	Type	Req	Description
dryRun	boolean	—	If true (default), validates the file exists without uploading. Set to false to actually upload.
filePath	string	yes	Local file path to the snapshot package file (e.g., './snapshot.csnap' or 'C:/snapshots/backup.csnap')
pollIntervalMs	integer	—	How often to check task status (1-10 seconds, default 3)
projectId	string	yes	The target project ID to upload the snapshot package to
timeoutMs	integer	—	Maximum time to wait for upload and processing (5-600 seconds, default 180)

No output schema declared.

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