pulsemcp Safe content atomic mcp-remote

CodeQL

CodeQL MCP Server provides a bridge to the CodeQL static analysis engine, enabling AI assistants to analyze codebases for security vulnerabilities and quality issues. The implementation offers tools for registering CodeQL databases, evaluating queries against codebases, decoding query results, and performing quick evaluations of specific classes or predicates. Built with Python using the FastMCP framework, it exposes a simple API that handles the complexities of CodeQL operations while providing structured results that can be easily interpreted by language models. This server is particularly valuable for security researchers and developers who want to leverage AI assistants for code analysis without directly interacting with the CodeQL CLI.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: database
Source: PulseMCP
Repository: github.com/jordyzomer/codeql-mcp
Author type: human
Updated: 2026-04-25

View source Find related skills

MCP

Resolve CodeQL from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"