"GitHub Actions" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Enhanciar is a company brain for engineering teams. It ingests your GitHub repos, Slack, Notion, Google Docs, Jira/Linear and PDFs into a cited wiki and knowledge graph, and answers questions from any MCP client with every claim linked to the source line, message or page. Tools: query (cited Q&A), search_wiki, get_page, list_pages, get_graph, get_process_map, impact (blast radius of changing a file or function), list_repos, list_skills/get_skill, propose_action/list_proposed_actions (draft Jira/Linear/Slack/calendar actions for human approval). BYOK — bring your own model key. Early access: join the waitlist at https://enhanciar.in and create an API key in Settings.
Deterministic contextual decision arbitration and action routing for autonomous software. Takes current state, context, or intent plus caller-supplied candidate actions, state transitions, routes, refusals, escalations, tools, or models and returns a deterministic ordered candidate field. Also provides persistent machine representations for memory, retrieval, indexing, and downstream coherence measurement.
Give your agents your team's real data — read the shared graph, propose actions your team approves.
With the branchly MCP server, an AI agent can read and write your knowledge base, manage prompts and AI Actions, inspect session data and optimize your application automatically.
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.
Append-only decisions with provenance, supersession, retrieval, and audited MCP actions.
669 apps and 1599 actions for any MCP agent, plus cross-session memory and QA passes.
Shared memory and actions for Claude, Kiro, OpenAI, Cursor, and other MCP-compatible AI clients.
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.
Search your newsletter and YouTube archive, drafted actions and working context from any MCP client.
Carbon Voice MCP serves as a bridge that connects AI assistants like ChatGPT, Claude, and Cursor to a user's Carbon Voice account, turning voice messages and conversations into a private, on-demand knowledge base. It provides 28 specialized tools for comprehensive voice messaging management, including creating and sending messages, accessing conversation history with instant transcription, running AI actions (summarization, TLDR generation, meeting notes), and managing workspace collaboration through folders, contacts, and team communications.
Private cross-media memory for AI assistants: recommendations, progress and controlled actions.
Coordination memory with verification: reconcile-against-GitHub, verdict freshness, provenance.
- hiveWikiOAuthai.hivewiki
Shared project wiki for AI agents: read and write pages, next actions, and activity logs over MCP.
Persistent context for Claude. Your AI always knows your projects and next actions across sessions.
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.
