"Exploring Gemini Services or Tools That Don’t Require an API Key" 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
ESG knowledge base for AI agents: hybrid search, glossary, frameworks, industries, graph traversal.
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.
Deterministic AI agent microtools, no accounts/API keys. fetch_extract: 98% token cut. 47 tools.
Find explanations and worked examples in Ithy’s public article library, from SSD capacity to USB-C cables. Search titles and descriptions, then read relevant passages with source links and dates. No account or API key. Read-only; no new research or private data access. Articles are AI-assisted secondary sources—check important claims against original references. https://ithy.com/connect
graphrag-ts is a TypeScript GraphRAG engine over PostgreSQL/pgvector, served as a Streamable HTTP MCP endpoint. The public read tier answers without credentials, rate limited to 20 requests per minute per IP: integrity_paper_status (retraction status and paper identity), retraction_propagation (whether a retraction propagates to a paper) and integrity_evidence_audit (evidence-path audit with source tiers). A bearer API key unlocks the full GraphRAG tool set: hybrid vector/keyword graph query, corpus-wide map-reduce answers, index jobs and memory writes.
Search and fetch tools over the pages of pournasserian.com, Amir Pournasserian's personal website: his writing on MCP, AI agents and RAG, his experience, case studies and open-source projects. No authentication. Runs the open-source mcp-my-site.
Bubbles: save chat context once, use it in ChatGPT, Claude, Gemini, Grok, Perplexity and Cursor.
Cloud or self-hosted knowledge for AI agents: hybrid search, reranking, GraphRAG, scoped MCP tools.
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.
Cited Q&A over 2026 conference talks and YouTube videos. $0.02/query, free daily tier, key or x402.
Dated, verified API breakages for coding agents, plus a local scan for them in your existing code.
Serverless hybrid search: full-text, vector and faceted search, in SQL, ES DSL, Solr and more.
Cited answers in Claude or ChatGPT only from your office's procedures; says so when not covered.
Cited web evidence and fact checking for AI agents. $0.01 per call, no API key.
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.
Strips 85-97% of HTML/DOM boilerplate into clean Markdown, skeletons, or BM25-ranked RAG chunks.
Hosted MCP memory: save sessions/decisions once, search from Claude, Cursor, ChatGPT. EU-hosted FTS.
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.
Verified Texas business records for AI agents: entities, licenses, openings and enforcement history.
