"A source for finding podcasts" matching MCP servers:

Enables coding agents to query the dependency graph of a GitHub backlog, retrieve ordered ready work and prerequisite chains, atomically claim issues, and report blockers—so agents work in the correct order and safely in parallel.

A secure and scalable Git MCP server giving AI agents powerful version control for local and (soon) serverless environments.

An MCP server that enables GitHub API operations such as managing repositories, issues, and pull requests through natural language.

Official Codna MCP server with Mojo-powered risk simulation. Maps repos with zero LLM tokens. 5 stdio tools: triage, root-cause analysis and fix plans (optional PRs), SARIF reachability proof, on-device code memory and bug reporting. Introspection needs no credentials; execution requires a one-time free codna login. Source: cli/codna/mcp_server.py. Registry: io.github.thyn-ai/codna.

A deterministic MCP server that reimplements ai-git-fish workflows (aicommit, aibranch, aipr) with Leantime integration, enabling Claude Code and Codex to perform git operations and manage tickets without an internal LLM.

RCP-1 is an enterprise-ready MCP server that connects AI assistants to SAP ABAP systems via the ADT REST API, with built-in security, access controls, and deployment options for BTP or on-premise.

Model Context Protocol (MCP) server for GitLab — exposes 1006 GitLab REST & GraphQL API operations as MCP tools (42 meta-tools / 57 enterprise), 24 resources, 38 prompts, and 17 completion types for AI assistants. Written in Go, single static binary, stdio and HTTP transport.

Local-first memory layer for AI coding agents — Markdown as source of truth, MCP server + CLI, human-reviewed capture, team knowledge via git PRs

Exposes structured Microsoft Dynamics 365 Business Central source code (versions 23-29, 47 localizations) to AI agents via MCP, enabling fast lookups, searches, and code analysis.

Provides MCP tools to get a single-call snapshot of git and GitHub Actions CI status across all repositories in a folder, flag missing or stale architecture docs, write doc files, and detect release drift between source and release repositories.

Enables scanning Python repos for dead code and automatically drafting a branch + PR for the safe subset (unused single-name imports) after running the repo's full test suite. All other findings are reported without modification, and a human always merges.

MCP server for Opengist, the self-hosted pastebin powered by Git

MCP server for creating, versioning, retrieving, and publishing HTML presentations, using git as the source of truth and Google Apps Script for deployment.

Provides MCP tools for Friday AI, enabling code indexing, Graph RAG, coding plans, and PR/MR operations via AI coding assistants like Cursor, Claude Code, and Codex.

Generates multi-platform release announcements (X, Reddit, GitHub profile, awesome-list, MCP directory) and a publish-readiness checklist for any public GitHub repository.

Guides AI agents through open-source contribution workflows, from finding issues to submitting PRs, while keeping decision-making and coding with the human contributor.

Git-native long-term memory for AI agents: your markdown files are the source of truth, the search index is a disposable projection rebuilt from git, and every memory the agent writes is a reviewable git commit. Served over one OAuth-secured MCP endpoint with hybrid lexical+semantic recall and a gated, git-first commit_note write tool.

Repository-native protocol and MCP server for coordinating work items, documentation, changelogs, and project memory between humans and AI agents, using Markdown files in a Git repository as the canonical data source.

Commit Message AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables AI assistants to scout GitHub for existing open-source projects, libraries, and frameworks before building from scratch, offering tools for stack suggestions, repository searches, and detailed repo evaluation.