io.github.NitishGourishetty/contextual-mcp-server
PYPI · CONTEXTUAL-MCP-SERVER
RAG-enabled MCP server using Contextual AI. Supports single-agent and multi-agent modes.
Available components
Last scanned (9 hours ago)
Scores higher than 28% of PyPI servers
Category AI and Machine Learning
Recent critical change
GHSA-hq85-5cpj-mr62 affects this package (21 Oct 2026). See the changelog before you install this server.
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
- No install/post-install scripts declared.Pass
- 3 of 42 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency30
- 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 413 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability0
- Schema quality not yet verified: our sandbox could not run this package, so we have no schema to assess.Unverified
Stability & Change Management0
- Stability not yet verified: our sandbox could not run this package, so we have no schema to compare.Unverified
Tool Coverage0
- Tool coverage not yet verified: our sandbox could not run this package, so we have no tool definitions to assess.Unverified
Tool Safety0
- Tool safety not yet verified: our sandbox could not run this package, so we have no tool text to scan.Unverified
Capabilities0
- Protocol version not yet verified: our sandbox could not run this package, so we never saw its MCP handshake.Unverified
Unverified: 5 categories
Categories scored 0 because our sandbox could not run this package, so we have no schema for these checks to read. That is a gap on our side rather than a finding about the package, and we only credit what we can confirm, so the score stands at 0 until we can run it. How we score packages →
Checks we ran (9)
- Malware scan
- Known CVEs
- Install scripts
- Dependency health
- Source repository
- Provenance
- License
- Maintenance
- Security disclosure
Checks we could not complete (5)
These are gaps on our side, not findings about this package. We only credit what we can confirm, so a category made up entirely of them scores 0.
- Schema quality in Schema Quality & AI Usability (scores 0 for this)Schema quality not yet verified: our sandbox could not run this package, so we have no schema to assess.
- Stability in Stability & Change Management (scores 0 for this)Stability not yet verified: our sandbox could not run this package, so we have no schema to compare.
- Tool coverage in Tool Coverage (scores 0 for this)Tool coverage not yet verified: our sandbox could not run this package, so we have no tool definitions to assess.
- Tool safety in Tool Safety (scores 0 for this)Tool safety not yet verified: our sandbox could not run this package, so we have no tool text to scan.
- Capabilities in Capabilities (scores 0 for this)Protocol version not yet verified: our sandbox could not run this package, so we never saw its MCP handshake.
Does not apply to this package (2)
- Endpoint SecurityScored on hosted endpoints only. A package has no live endpoint of its own for us to probe.
- Transport & ReachabilityScored on hosted endpoints only. A package has no live endpoint of its own for us to probe.
The score does not measure everything. What the score does not measure →
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.
- 5 Nov 26 +15
- Malware scan: unverified → pass ▲ security
- 2 Nov 26 −15
- Malware scan: pass → unverified ▼ security
- 31 Oct 26 0
- Provenance: unverified → fail ▼ security
- 30 Oct 26 0
- Provenance: fail → unverified ▼ security
- 22 Oct 26 +36
- GHSA-hq85-5cpj-mr62 no longer affects this package ▲ security
- Known CVEs: fail → pass ▲ security
- Score status: failed → scored ▲ functional
- 21 Oct 26 −36
- GHSA-hq85-5cpj-mr62 affects this package: none ▼ critical
- Known CVEs: pass → fail ▼ critical
- Score status: scored → failed ▼ critical
- 13 Oct 26 0
- Security disclosure: unverified → fail ▼ functional
- 12 Oct 26 0
- Security disclosure: fail → unverified ▼ functional
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 5 Nov 2026 · Analysed pypi/contextual-mcp-server@0.1.0
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | pypi |
| Reason | No attestation published |
Background: How many MCP packages publish verified provenance →
Dependencies 42 packages
| Packages resolved | 42 |
|---|---|
| Stale | 2 |
| No linked repository | 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 →
Tools for package channels are captured by running the package in an isolated sandbox. Our sandbox could not run this package, so no tool list has been captured. That is a gap on our side, not a finding about the package.
How do I install the io.github.NitishGourishetty/contextual-mcp-server server?
io.github.NitishGourishetty/contextual-mcp-server runs locally as a PyPI package, launched with uvx contextual-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 · contextual-mcp-server
claude mcp add nitishgourishetty-contextual-mcp-server -- uvx contextual-mcp-server
What is the io.github.NitishGourishetty/contextual-mcp-server server?
io.github.NitishGourishetty/contextual-mcp-server is listed in the public MCP registry as io.github.NitishGourishetty/contextual-mcp-server. RAG-enabled MCP server using Contextual AI. Supports single-agent and multi-agent modes. This page covers its PyPI package (contextual-mcp-server).
Is the io.github.NitishGourishetty/contextual-mcp-server server safe to use?
io.github.NitishGourishetty/contextual-mcp-server scores 36 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 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.
Is the io.github.NitishGourishetty/contextual-mcp-server server still maintained?
io.github.NitishGourishetty/contextual-mcp-server is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What did VerifyMCP test on the io.github.NitishGourishetty/contextual-mcp-server server?
VerifyMCP ran 9 checks on io.github.NitishGourishetty/contextual-mcp-server, covering Malware scan, Known CVEs, Install scripts, Dependency health and 5 more. 5 items could not be completed, a gap on our side rather than a finding about io.github.NitishGourishetty/contextual-mcp-server: Schema quality, Stability, Tool coverage, Tool safety and 1 more. 5 categories score 0 for that reason, because we only credit what we can confirm. Endpoint Security and Transport & Reachability do not apply to a PyPI package, so they were not tested. The score does not measure everything, and the scoring documentation lists what it leaves out.