"GitHub Copilot" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
- data_previewC
GitHub Platform Changelog — buy per-query in-session (githubchangelog)
- get_tool_plansA
- data_session_funding_packageB
GitHub Platform Changelog — buy per-query in-session (githubchangelog)
- data_session_fundA
GitHub Platform Changelog — buy per-query in-session (githubchangelog)
- get_statusB
- registerA
GitHub Platform Changelog — buy per-query in-session (githubchangelog)
Enhanciar is an AI company brain for every team. It reads your Slack, Gmail, Google Drive, Notion, Confluence, Jira, Linear, Zendesk, GitHub code and databases, writes a wiki from them, and answers questions from any MCP client with a link to the source. Tools: query (cited answers), search_wiki, get_page, list_pages, get_graph, get_process_map, impact (what a code change touches), list_repos, list_skills, get_skill, propose_action and list_proposed_actions (tickets, Slack messages, Gmail drafts, Notion pages and calendar holds that a person approves first). Hosted service, bring your own AI key. Plans: Solo $24 a month, Team $100 a month for up to 10 people. Create an API key in Settings at https://enhanciar.in.
Real engineering memory marketplace for autonomous AI agents. Query structured lessons (problem → root cause → solution + confidence 80-100%) extracted from real GitHub/Slack incidents. Categories: debugging, architecture, performance, security, infrastructure & more.
Recallium is an MCP server that gives development agents a shared, persistent memory of your engineering work. Decisions, root causes, fixes, constraints and team rules worked out in one session are found and handed to every engineer and agent on the project in the next, across Claude Code, Codex, Cursor, GitHub Copilot and 60+ MCP clients. One install connects every agent on the machine.
Universal memory for AI agents and tools. Save, organize and search context on any AI tool or platform. Here's what you can do with AI Context Flow: 1. Organize your projects as memory buckets 2. Save important chats directly from within chat agents 3. Give all your agents (OpenClaw, Claude Code, Lovable, and more) a shared persistent memory 4. Share your buckets with other people Docs: docs.plurality.network/the-plurality-mcp-server Github: github.com/Web3-Plurality/plurality-mcp-server
Make your knowledge agent-ready. Connect docs from Confluence, Notion, GitHub, Dropbox, or Google Drive — any AI agent searches them via one MCP endpoint. 3 retrieval modes: vector search, broad search, and full document access. The agent decides how deep to dig.
Coordination memory with verification: reconcile-against-GitHub, verdict freshness, provenance.
Marketing strateeg portfolio met AI kennisbank voor marketing, sales en strategie inzichten.
Driflyte MCP server which lets AI assistants query topic-specific knowledge from web and GitHub.