"All-in-One Local MCP (Model Context Protocol) Server" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Engram is a persistent, long-term memory layer for AI agents and assistants. Claude, ChatGPT, Grok, Cursor and any MCP client share one memory, stored as plain markdown notes: your knowledge base, second brain and AI context in one place. No extraction step: the memory is the note itself, so you can read exactly what your AI remembers and fix it. Edit your memory in Obsidian (real-time sync), the web app, or on your phone. Hybrid keyword + semantic search (RAG over your notes) finds exact strings like error messages, config keys and IDs. Remote MCP server over Streamable HTTP with OAuth 2.1; notes encrypted at rest. Https://engram.page https://youtu.be/rwnPeZ-8Lqo?is=NI-N7BduydGAiZlF https://github.com/engram-app/Engram
Cited answers in Claude or ChatGPT only from your office's procedures; says so when not covered.
Machine-exclusive web distillation MCP server for AI agents. Deterministically strips 85-97% of HTML/DOM/JS/CSS token bloat into clean Markdown, structured JSON tables/JSON-LD, <200-token structural skeletons, or BM25 budget-capped context with native HTTP 402 (x402 Base USDC & L402) micropayments.
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.
Ask questions about Claude Code, Cursor, Codex and MCP — get answers grounded in their official docs, with citations. A hybrid RAG service that AI agents call through two MCP tools (or over REST). It indexes ~600 pages of official documentation, refreshes itself daily, and every design choice is backed by an experiment.
The right context at the right time, from the world's leading data providers. One API. 800+ tools.
jitprompt gives your agents just-in-time instructions. Upload your docs as they are, and your agent gets the right section over MCP at the moment it needs it, instead of 20k tokens of system prompt every turn.
Your feeds inside your AI. Read and search the articles of the RSS feeds, YouTube channels, podcasts and Google News searches you follow. On Plus and Pro, also save, tag, highlight and add notes. OAuth sign-in, every FeedNest plan.
Verified Texas business context for AI agents: legal entities, affiliates, licenses, new openings.
Fastio gives your team and AI agents a workspace for each project, bringing source files, comments and new work together. Connect a compatible MCP client to find files, answer questions from project material, and save results where the team can review and use them. \ Sign in through Fastio and choose the workspaces the connection can reach. Read Only connections expose read tools; Read & Write connections also allow changes. \ • **Files and folders:** browse, read, upload, and organize files, with version history and trash. • **Search:** find files by keyword; search file content and meaning when Deep Indexing is enabled and files have been processed. • **Metadata:** read, set, and search metadata fields, including extracted fields where available. • **Shares:** create and manage shares for sending or collecting files. • **Comments and members:** read and add comments, and manage workspace membership within your permissions. • **Activity:** search workspace events to see what changed. \ Hosted by Fastio, with no server installation required. \ • **Claude and most MCP clients:** https://mcp.fast.io/mcp/tools • **ChatGPT:** https://mcp.fast.io/mcp/operations • **ChatGPT and Codex:** Fastio plugin • **Claude Code, Cursor and similar coding agents:** https://mcp.fast.io/mcp/code • **Setup and client-specific capabilities:** https://mcp.fast.io/docs \ Paid plans. Monthly plans include a trial of up to 30 days. A card is required, and billing begins when the trial ends or trial credits run out, whichever comes first. No free plan.
Search agent-ready sites or fetch one site's report; every capability probe-verified, dated.
13 pay-per-event data APIs for local-business and web intelligence: local presence audit (Google Business Profile + reviews + AI-readiness), Google Maps scraper, review radar and review pitch generator, TikTok, Instagram, YouTube and LinkedIn scrapers, RAG web browser, France fuel prices, hotel rate monitoring, and a free AEO/AI visibility checker.
Document reader for AI agents: PDF text and tables, Word paragraphs, metadata, and OCR for scanned files and images. Runs in memory and stores nothing. Requires a Bearer token.
Bring your saved preferences, project decisions, and useful context into your next AI conversation.
Local ML: speech to text (SRT/VTT), text embeddings, reranking, similarity, entities, zero-shot.
Unstructured document processing for LLM pipelines. Upload as PDF/DOCX/TXT any supported files, extract structured data (PII-redacted), build LLM-ready datasets, and search/export results — all via MCP tools (document.process, job.status, job.result, dataset.build, dataset.search, dataset.export).
Recall memories, entity profiles and source notes from your Locul cloud brain in any AI chat.
Connect your AI to any database — PostgreSQL, MySQL, or SQL Server — in seconds.
The only News based AI MCP your agents will ever need — custom categories, global regions, and time-scoped results in one tool. We use multi-vector & sparse-hybrid search to search through thousands of articles across the world to find the exact news you're looking for.
Historical market memory for AI agents using semantic vector search across years of financial market data. Discover similar market regimes, price patterns, and market context for quantitative research and algorithmic trading.
