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Health: ActiveRecent health check succeeded.Last checked 10/14/2026, 5:46:01 PM

Sourcery

InstallableWe know how to install it, but have not yet seen it complete a handshake. User RatingsBe the first to rate and review this MCP server!
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sourcerysecuritydeveloper-toolsfindings

Queries Sourcery security findings, updates issues, and builds remediation prompts through MCP or CLI.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Configure Environment Variables (API Keys, Tokens, Options):
Add required secrets below — values are included directly in the generated snippet so you can copy and paste with confidence.
Quick Add:
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "sourcery-2": {
      "command": "npx",
      "args": [
        "-y",
        "@abyssbugg/sourcery@latest"
      ],
      "env": {
        "SOURCERY_API_KEY": "YOUR_VALUE_HERE"
      }
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (8) Directory Badge Claim listing Alternatives💻 More in Developer Tools

Overview

The sourcery MCP server connects AI agents to Sourcery’s public security findings API. It provides triage, filtering, detailed issue retrieval, aggregate counts, bulk updates, and fix-prompt generation through a TypeScript MCP server distributed as an npm package. Run it over stdio or Streamable HTTP with a Sourcery API key, or use the included CLI for scripted workflows. Reach for it when an agent needs to inspect and manage Sourcery security findings; GitHub and GitLab review commands require a separate connector.

Use cases

•Triage active Sourcery security findings
•Filter findings by repository, type, status, or search term
•Retrieve source snippets and dependency graphs
•Apply bulk status or severity changes
•Generate minimal-change remediation prompts

Key features

•Security finding and issue-group queries
•Status and severity aggregation
•Cursor-based filtering and pagination
•Bulk updates for up to 100 IDs
•Dependency-aware fix-prompt generation
•Stdio and Streamable HTTP modes

Capabilities & Tool Schemas (8) ~216 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server — may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Sourcery.

sourcery_security_snapshot

counts by status/severity plus the first page of active issues — start here for a triage overview.

sourcery_list_findings

list issues with `repository_ids`, `issue_types`, `statuses`, `search`, `limit`, `cursor`.

sourcery_get_finding

fetch one issue (full record incl. source snippet and dependency graph).

sourcery_get_security_counts

aggregate counts by status and severity.

sourcery_bulk_update_findings

bulk status/severity changes (≤100 ids; `SOLVED` is scanner-owned and rejected).

sourcery_build_fix_prompt

builds the Sourcery-style minimal-change agent prompt from a finding; the DEPENDENCY path uses `fixed_versions` + `manifest_file_path` and renders the dependency chain.

How Sourcery works

What the sourcery MCP server does

The sourcery MCP server exposes Sourcery’s documented Team-plan REST API for security findings to MCP-compatible agents. Its scope is security issue and issue-group data rather than Sourcery’s pull-request review controls. The bundle also includes a command-line interface and skills for triage and remediation workflows.

The package is published as @abyssbugg/sourcery. It can be used directly as an MCP process or installed as a plugin bundle for supported agent hosts. A Python implementation is included as a reference, while the production server is built with the official MCP TypeScript SDK.

How it works

The server uses Sourcery’s API at https://api.sourcery.ai/api and authenticates with a bearer token supplied through SOURCERY_API_KEY. Its implementation is pinned to a committed OpenAPI snapshot. The snapshot defines eight verified API operations covering issue and issue-group listing, statistics, retrieval, and bulk updates.

The MCP layer presents those operations as focused tools. A snapshot tool combines status and severity totals with the first page of active issues, making it a starting point for triage. List operations accept filters such as repository IDs, issue types, statuses, search text, limits, and cursors. The fix-prompt tool creates a minimal-change prompt from a finding; dependency findings use fixed versions and the manifest path to render the dependency chain.

Setup and configuration

Node.js 20 or newer is required. For the default stdio mode, set the API key and start the package without arguments:

server.ts
export SOURCERY_API_KEY='...'
npx -y @abyssbugg/sourcery@latest

Streamable HTTP mode is available with http and listens on 127.0.0.1:8765/mcp:

Terminal
npx -y @abyssbugg/sourcery@latest http

The repository contains host-specific setup instructions for Claude Code, Cursor, Codex or ChatGPT desktop, VS Code, Devin, Grok, Amp, Hermes, OpenClaw, and Rovo Dev CLI. ChatGPT web requires the HTTP server to be exposed behind HTTPS and added through developer mode. The bundle can also be run from a local plugin directory.

Tools and capabilities

The sourcery MCP server provides tools for both individual findings and issue groups:

  • Inspect snapshots, security counts, findings, and groups.
  • Filter and paginate findings or groups.
  • Retrieve a complete finding, including source snippets and dependency graphs.
  • Apply status or severity changes in bulk, up to 100 IDs per request.
  • Build Sourcery-style remediation prompts.
  • Report the pinned API surface, enum values, and specification details.
  • Send compatibility requests through a bridge limited to the eight verified operations.

The command-line interface offers equivalent workflows such as snapshot, list, get, and fix-prompt. Query commands accept --json for scripting. SOLVED is scanner-owned and rejected by bulk finding updates.

Limitations and notes

Sourcery’s public API is documented as a security-findings API. Review actions such as review, summary, guide, title, resolve, dismiss, and create issue remain GitHub or GitLab comment and label commands, so they are outside this server’s REST surface and should be handled through a Git provider connector.

The OpenAPI snapshot is pinned in the repository and includes a recorded fetch date and SHA-256 value. If Sourcery changes its specification, the snapshot and corresponding constants must be regenerated before relying on the new operations or enum values. The HTTP mode also requires suitable HTTPS exposure when used by ChatGPT web.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

npm downloads
32
Package downloads in the last 30 days.
Last commit
13d ago
Most recent push to the default branch.
Tools exposed
8
Callable tools this server registers over MCP.

Reviews

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Frequently Asked Questions about Sourcery

sourcery is an MCP server that connects AI agents to Sourcery’s public security findings API. Its main tools provide security snapshots, filtered finding and group lists, detailed issue records, aggregate counts, bulk updates, and minimal-change fix prompts. It runs through npm over stdio or Streamable HTTP and requires a Sourcery API key.

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Technical Specs & Signals

Category💻Developer Tools
More technical detailsExpand ▾
TransportSTDIO
RuntimeNode.js
ClientsClaude Code, Cursor, OpenAI Codex CLI, VS Code (GitHub Copilot), Claude Desktop, Cline / VS Code, Windsurf, Gemini CLI, JetBrains AI Assistant, Zed, Roo Code, Continue, LM Studio
Last updatedOct 14, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit13d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Oct 1, 2026
npm downloads32/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
53Quality signal: Good · 53/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools25/30
Adoption & activity5/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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