"A tool or platform to search within a codebase" 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.
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.
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
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.
ESG knowledge base for AI agents: hybrid search, glossary, frameworks, industries, graph traversal.
Document to Markdown: convert Word, Excel, PowerPoint and PDF files to Markdown for an LLM.
Search Fragments — two tools for the queries an agent can't place, both built to decline rather than guess. resolve_fragment takes a half-remembered, cross-source query ("a musician who became famous for stopping performing") and returns a grounded answer, ranked web sources to confirm by eye, or an explicit no-resolution. verify_claim takes a specific factual assertion and returns supported, partially_supported, insufficient_evidence, or unsupported, with cited evidence and a stated_limits field that is always present. There is no confidence score — insufficient_evidence fires freely, and unsupported requires a source that explicitly contradicts, never mere absence of confirmation. Every verdict is decide-by-eye: "supported" means current web sources confirm it, not that the claim is true. Calibrated against 18 known claims before release. Free, no signup. Streamable HTTP (MCP 2025-11-25). Read-only.
Live MCP connector for Develust Technology's services — web development, infrastructure, backend architecture. Hybrid search with AI reranking for accurate results. No auth required.
Bounded KVP, RAG search, and wipe receipts for agent jobs over remote MCP
Web pages, PDFs and search results as LLM-ready Markdown or chunks. Firecrawl-compatible, EU-hosted.
Strips 85-97% of HTML bloat into clean Markdown, <200-token skeletons, or BM25 excerpts via MCP.
Ask a UK fractional CTO's practice directly: services, prices, articles, and whether he fits.
Search agent-ready sites or fetch one site's report; every capability probe-verified, dated.
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.
Lean operations knowledge base built on DBS: cited answers, tool cards, plans and diagnoses.
Local ML: speech to text (SRT/VTT), text embeddings, reranking, similarity, entities, zero-shot.
Verify a company, figure or citation before you rely on it. Card or crypto; signed receipt.
Cloud or self-hosted knowledge for AI agents: hybrid search, reranking, GraphRAG, scoped MCP tools.
Bring your RiverScript transcripts of meetings, calls and interviews to any AI agent.
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).
