io.github.prateekg7/context-bridge
NPM · @CONTEXTBRIDGE_AI/MCP · SCANNED SEP 20
Context portability MCP server for compressing, formatting, and resuming AI conversation handoffs.
Available components
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 → Why this is hard to score →
Supply Chain Security98
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- No install/post-install scripts declared.Pass
- 31 of 96 dependencies flagged as unhealthy. 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 130 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability69
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 240 tokens (~60/item across 4 items; 4 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management93
- Stability observed for 28 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
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
- Structured output schemas are declared (75% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 4 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 4 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
How do I install the io.github.prateekg7/context-bridge MCP server?
io.github.prateekg7/context-bridge runs locally as an npm package, launched with npx -y @contextbridge_ai/mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · @contextbridge_ai/mcp
claude mcp add prateekg7-context-bridge -- npx -y @contextbridge_ai/mcp
{
"mcpServers": {
"prateekg7-context-bridge": {
"command": "npx",
"args": [
"-y",
"@contextbridge_ai/mcp"
]
}
}
} {
"servers": {
"prateekg7-context-bridge": {
"command": "npx",
"args": [
"-y",
"@contextbridge_ai/mcp"
]
}
}
} codex mcp add prateekg7-context-bridge -- npx -y @contextbridge_ai/mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"prateekg7-context-bridge": {
"type": "local",
"command": [
"npx",
"-y",
"@contextbridge_ai/mcp"
],
"enabled": true
}
}
} openclaw mcp add prateekg7-context-bridge --command npx --arg -y --arg @contextbridge_ai/mcp
mcp_servers:
prateekg7-context-bridge:
command: "npx"
args: ["-y", "@contextbridge_ai/mcp"] {
"McpServers": {
"prateekg7-context-bridge": {
"Transport": "stdio",
"Command": "npx",
"Arguments": [
"-y",
"@contextbridge_ai/mcp"
]
}
}
} assistant mcp add prateekg7-context-bridge -t stdio -c npx -a -y @contextbridge_ai/mcp
{
"mcpServers": {
"prateekg7-context-bridge": {
"command": "npx",
"args": [
"-y",
"@contextbridge_ai/mcp"
]
}
}
} 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.
- 20 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.
- 18 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.
- 16 Sept 26 −3
- Stability: pass → 0.80 functional
- 15 Sept 26 +1
- Stability: 0.97 → pass security
- 13 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.
- 11 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.
- 9 Sept 26 −3
- Stability: pass → 0.80 functional
- 8 Sept 26 +1
- Stability: 0.97 → pass security
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 20 Sept 2026 · Analysed npm/@contextbridge_ai/mcp@0.1.3
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | npm |
Background: How many MCP packages publish verified provenance →
Dependencies 96 packages
| Packages resolved | 96 |
|---|---|
| Stale | 31 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
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. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
compress_context Compress Context ~67
Compresses a raw conversation transcript into a structured ContextBridge handoff block.
| Name | Type | Req | Description |
|---|---|---|---|
| provider | string | – | Optional provider override for the extraction lane: openai, openai-chat, google, groq, custom, or hosted. |
| transcript | string | yes | The raw conversation transcript to compress. |
| Name | Type | Req | Description |
|---|---|---|---|
| constraints_and_preferences | array | yes | Important user preferences, constraints, or non-negotiables. |
| conversation_assessment | object | yes | – |
| conversation_type | string | yes | The dominant type of work the conversation is doing. |
| current_state | string | yes | A concise description of where the work currently stands, weighted toward the final 25% of the conversation. |
| decisions_made | array | yes | Only decisions explicitly confirmed, chosen, or accepted by the user. Suggestions alone do not count. |
| goal | string | yes | The user's primary goal as of the latest meaningful state in the transcript. |
| key_artifacts | array | yes | Important outputs, files, prompts, or assets mentioned in the transcript. |
| open_threads | array | yes | Unresolved work, risks, or follow-ups that still need attention. |
| recent_pivot | object | yes | – |
| suggested_next_step | string | yes | The best immediate next action for continuing the conversation. |
| user_expertise_level | string | yes | Estimated expertise level implied by the user's language and requests. |
| version | string | yes | Schema version for ContextBridge output. |
No examples provided.
format_for_target Format For Target ~67
Formats a compressed ContextBridge handoff block into a paste-ready opening prompt for a destination AI platform.
| Name | Type | Req | Description |
|---|---|---|---|
| context_block | object | yes | The structured ContextBridge handoff block to format. |
| target | string | yes | The destination platform: claude, chatgpt, or gemini. |
| Name | Type | Req | Description |
|---|---|---|---|
| api_split | object | yes | – |
| format_version | string | yes | Schema version for formatted prompt output. |
| formatted_prompt | string | yes | A paste-ready opening message for the target platform. |
| prompt_structure_notes | array | yes | Why this format was chosen for the target platform. |
| target | string | yes | The destination AI platform. |
| usage_instructions | string | yes | How to use this formatted output on the target platform. |
No examples provided.
resume_context Resume Context ~71
Packages a stored ContextBridge handoff block into a destination-ready landing bundle for resuming the conversation on another AI platform.
| Name | Type | Req | Description |
|---|---|---|---|
| context_block | object | yes | The structured ContextBridge handoff block to resume from. |
| target | string | yes | The destination platform: claude, chatgpt, or gemini. |
| Name | Type | Req | Description |
|---|---|---|---|
| api_resume_payload | object | yes | The split system/user payload to use when the destination supports separate instruction channels. |
| continuation_plan | string | yes | The intended first move after the receiving AI loads the handoff. |
| format_version | string | yes | Schema version for resume context output. |
| handoff_kind | string | yes | Identifies this as a destination-side resume package. |
| manual_resume_message | string | yes | The single paste-ready message to use when the destination only supports a single opening message. |
| operator_steps | array | yes | Step-by-step instructions for using this handoff package. |
| prompt_structure_notes | array | yes | Notes explaining why this landing package is structured this way. |
| resume_ready | boolean | yes | Whether the package is ready to use immediately. |
| target | string | yes | The destination AI platform. |
| usage_instructions | string | yes | A concise explanation of how to use this resume package. |
No examples provided.
say_hello Say Hello ~35
Dummy tool used to confirm the ContextBridge MCP server is connected and working.
| Name | Type | Req | Description |
|---|---|---|---|
| name | string | yes | The name to greet |
No output schema declared.
No examples provided.
What is the io.github.prateekg7/context-bridge MCP server?
io.github.prateekg7/context-bridge is an MCP server listed in the public MCP registry as io.github.prateekg7/context-bridge. Context portability MCP server for compressing, formatting, and resuming AI conversation handoffs. This page covers its npm package (@contextbridge_ai/mcp).
Is the io.github.prateekg7/context-bridge MCP server safe to use?
io.github.prateekg7/context-bridge scores 82 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 September 2026. It declares no install or post-install scripts. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the io.github.prateekg7/context-bridge MCP server expose?
io.github.prateekg7/context-bridge exposes 4 tools: say_hello, compress_context, format_for_target, resume_context. Their descriptions and schemas cost roughly 240 tokens of context every time the server is loaded.
Is the io.github.prateekg7/context-bridge MCP server still maintained?
io.github.prateekg7/context-bridge is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the io.github.prateekg7/context-bridge MCP server under?
io.github.prateekg7/context-bridge declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.