io.github.lineai-intelligence/lineai-mcp-server
PYPI · LINEAI-MCP-SERVER · SCANNED SEP 21
An MCP Server to utilize Lineai's rich software dependency data in your AI programming assistant.
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 Security100
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- Runs hatchling.build at install time, a recognised native-build step with no shell scripting around it. View diagnostics → Pass
- 1 of 36 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency35
- 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
- License check failed: no license is declared. See how to fix → Fail
- Actively maintained (last published 39 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability73
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 1028 tokens (~128/item across 8 items; 8 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 Management87
- Stability observed for 26 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage81
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 42% of tool parameters carry a description.Partial
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 8 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 9 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.lineai-intelligence/lineai-mcp-server server?
io.github.lineai-intelligence/lineai-mcp-server runs locally as a PyPI package, launched with uvx lineai-mcp-server. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · lineai-mcp-server
claude mcp add lineai-intelligence-lineai-mcp-server -- uvx lineai-mcp-server
{
"mcpServers": {
"lineai-intelligence-lineai-mcp-server": {
"command": "uvx",
"args": [
"lineai-mcp-server"
]
}
}
} {
"servers": {
"lineai-intelligence-lineai-mcp-server": {
"command": "uvx",
"args": [
"lineai-mcp-server"
]
}
}
} codex mcp add lineai-intelligence-lineai-mcp-server -- uvx lineai-mcp-server
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"lineai-intelligence-lineai-mcp-server": {
"type": "local",
"command": [
"uvx",
"lineai-mcp-server"
],
"enabled": true
}
}
} openclaw mcp add lineai-intelligence-lineai-mcp-server --command uvx --arg lineai-mcp-server
mcp_servers:
lineai-intelligence-lineai-mcp-server:
command: "uvx"
args: ["lineai-mcp-server"] {
"McpServers": {
"lineai-intelligence-lineai-mcp-server": {
"Transport": "stdio",
"Command": "uvx",
"Arguments": [
"lineai-mcp-server"
]
}
}
} assistant mcp add lineai-intelligence-lineai-mcp-server -t stdio -c uvx -a lineai-mcp-server
{
"mcpServers": {
"lineai-intelligence-lineai-mcp-server": {
"command": "uvx",
"args": [
"lineai-mcp-server"
]
}
}
} 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.
- 21 Sept 26 +16
- Malware scan: unverified → pass ▲ security
- 19 Sept 26 −3
- Stability: pass → 0.80 functional
- 18 Sept 26 −14
- Malware scan: pass → unverified ▼ security
- Stability: 0.97 → pass security
- 16 Sept 26 +16
- Malware scan: unverified → pass ▲ security
- 14 Sept 26 −14
- Malware scan: pass → unverified ▼ security
- 12 Sept 26 −3
- Stability: pass → 0.80 functional
- 11 Sept 26 +1
- Stability: 0.97 → pass security
- 9 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.
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 21 Sept 2026 · Analysed pypi/lineai-mcp-server@1.3.2
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | pypi |
Background: How many MCP packages publish verified provenance →
Install scripts 1 script
| Hook | Tier | Command |
|---|---|---|
| build_backend | allowlisted | hatchling.build |
Background: Why install scripts are a supply-chain risk →
Dependencies 36 packages
| Packages resolved | 36 |
|---|---|
| Stale | 1 |
| 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 →
lineai-database-impact ~154
Analyze impacts between code and database entities. Uses LINEAI_WORKSPACE_NAME environment variable to determine the target workspace. Recommended workflow: 1. Use this tool before implementing code or database changes 2. Search for the relevant database entity 3. Review the impact analysis to understand which code depends on this database object and vice versa Particularly crucial when AI-suggested modifications are being considered or when modifying SQL code.
| Name | Type | Req | Description |
|---|---|---|---|
| entity_type | string | yes | Type of database entity to search for (column, table, or view) |
| name | string | yes | Name of the database entity to search for |
| table_or_view | string | – | Name of the table or view containing the column (required for columns only) |
No output schema declared.
No examples provided.
lineai-graph-capabilities ~82
Fetch graph API capabilities/manifest from the Lineai server (GET). Returns label and relationship metadata when the graph tier is deployed; otherwise explains missing routes. Uses LINEAI_WORKSPACE_NAME for MV id unless `materialized_view_id` is set.
| Name | Type | Req | Description |
|---|---|---|---|
| materialized_view_id | string | – | Optional materialized view id; default from workspace name |
No output schema declared.
No examples provided.
lineai-graph-impact ~98
Bounded graph impact from seed node ids (curated HTTP API). Optional `direction` (upstream|downstream|both), `depth`, `scan_space`, `materialized_view_id`.
| Name | Type | Req | Description |
|---|---|---|---|
| depth | integer | – | – |
| direction | string | – | – |
| materialized_view_id | string | – | – |
| scan_space | string | – | – |
| seed_node_ids | array | yes | Graph node ids to expand from |
No output schema declared.
No examples provided.
lineai-graph-owners ~72
Look up owners/reviewers for a graph node (curated HTTP API). Provide `node_id` or `identity_prefix`.
| Name | Type | Req | Description |
|---|---|---|---|
| identity_prefix | string | – | – |
| materialized_view_id | string | – | – |
| node_id | string | – | – |
| scan_space | string | – | – |
No output schema declared.
No examples provided.
lineai-graph-path-explain ~96
Explain bounded paths between two graph nodes (curated HTTP API). Requires `from_node_id`, `to_node_id`; optional `max_depth`, `scan_space`, `materialized_view_id`.
| Name | Type | Req | Description |
|---|---|---|---|
| from_node_id | string | yes | – |
| materialized_view_id | string | – | – |
| max_depth | integer | – | – |
| scan_space | string | – | – |
| to_node_id | string | yes | – |
No output schema declared.
No examples provided.
lineai-graph-search ~153
Search the Lineai knowledge graph (curated HTTP API). Provide `query` or `identity_prefix`; optional `scan_space`, `materialized_view_id`, `limit`. Requires server route POST .../ai-retrieval/graph/search.
| Name | Type | Req | Description |
|---|---|---|---|
| identity_prefix | string | – | Prefix of stable graph identity |
| limit | integer | – | Suggested max hits (server may cap) |
| materialized_view_id | string | – | Override MV id; default from workspace name |
| prefer_latest_scan | boolean | – | – |
| q | string | – | Alias for query |
| query | string | – | Symbol or text query (alias: q) |
| scan_space | string | – | Optional scan-space / branch filter |
No output schema declared.
No examples provided.
lineai-graph-validate-change-scope ~69
Validate whether a proposed change scope is safe given seed graph nodes (curated HTTP API).
| Name | Type | Req | Description |
|---|---|---|---|
| materialized_view_id | string | – | – |
| proposed_change_summary | string | yes | – |
| scan_space | string | – | – |
| seed_node_ids | array | yes | – |
No output schema declared.
No examples provided.
lineai-method-impact ~119
Analyze impacts of modifying a specific method within a given class or type. Uses LINEAI_WORKSPACE_NAME environment variable to determine the target workspace. Recommended workflow: 1. Use this tool before implementing code changes 2. Run the tool against methods or functions that are being modified 3. Carefully review the impact analysis results to understand potential downstream effects Particularly crucial when AI-suggested modifications are being considered.
| Name | Type | Req | Description |
|---|---|---|---|
| class | string | yes | Name of the class containing the method |
| method | string | yes | Name of the method being analyzed |
No output schema declared.
No examples provided.
What is the io.github.lineai-intelligence/lineai-mcp-server server?
io.github.lineai-intelligence/lineai-mcp-server is listed in the public MCP registry as io.github.lineai-intelligence/lineai-mcp-server. An MCP Server to utilize Lineai's rich software dependency data in your AI programming assistant. This page covers its PyPI package (lineai-mcp-server).
Is the io.github.lineai-intelligence/lineai-mcp-server server safe to use?
io.github.lineai-intelligence/lineai-mcp-server scores 79 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 21 September 2026. 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.lineai-intelligence/lineai-mcp-server server expose?
io.github.lineai-intelligence/lineai-mcp-server exposes 8 tools: lineai-method-impact, lineai-database-impact, lineai-graph-capabilities, lineai-graph-search, lineai-graph-impact, and 3 more. Their descriptions and schemas cost roughly 843 tokens of context every time the server is loaded.
Is the io.github.lineai-intelligence/lineai-mcp-server server still maintained?
io.github.lineai-intelligence/lineai-mcp-server is still listed as active in the MCP registry. We last reached this channel on 21 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.