"Executing Orders on Alpaca Trading Platform" 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
graphrag-ts is a TypeScript GraphRAG engine on PostgreSQL/pgvector, served as a Streamable HTTP MCP endpoint. Public read tier needs no credentials (20 req/min per IP): integrity_paper_status, retraction_propagation, integrity_evidence_audit. A bearer key unlocks graph query, global map-reduce, index jobs and memory writes. Free browser demo: https://huggingface.co/spaces/ashesborn6/retraction-status
Marcora is the context layer for go-to-market teams. Build your source of truth once: a Brand Foundation (positioning, brand voice, and writing style) plus a Reference Library of product docs, buyer personas, competitive analysis, and messaging. Claude, ChatGPT, and any AI tool that supports MCP connections read from it, so what you write stays on-brand and accurate.
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.
Verify a company, figure or citation before you rely on it. Card or crypto; signed receipt.
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.
Lean operations knowledge base built on DBS: cited answers, tool cards, plans and diagnoses.
Reddit threads and reply drafts, LinkedIn leads, on-brand articles, chatbots and short links.
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.
CareerProof MCP gives AI agents direct access to a professional-grade career and workforce intelligence platform. Two namespaces: atlas_* for HR/TA teams (candidate evaluation, batch shortlisting, competency scoring, interview generation, JD analysis, custom eval frameworks, research reports) and ceevee_* for professionals (CV optimization, career positioning, salary intelligence, market reports). Backed by RAG knowledge from 50+ premium research sources (McKinsey, BCG, HBR, Gartner, WEF)
Search, read and cite Jan Brennenstuhl's essays on AppSec, identity and agent identity.
Fact-check AI answers with cited sources. Pay per call in USDC on Base via x402.
Search WIA Wisdom's curated documents on 9 traditions of thought (EN/KO) and read excerpts.
The world's first named AI prompt quality score. Score, optimize, and compare LLM prompts before they hit any model. Free tier available. Built on PEEM, RAGAS, G-Eval, and MT-Bench frameworks. x402-native on Base.
Private, self-describing memory for agents: one house per customer, on a machine of its own.
Grounded facts, fit check, free library search, skill previews and skill packs for founders running a $5–50M business on agents. Human lane: optimus.university.
x402 clean article text and metadata for AI/RAG. $0.002 per successful article.
Multilingual YouTube → Knowledge Pack engine. Paste a video URL and get a structured pack — summary, key ideas, glossary, quiz, transcript with timestamps — in Spanish, Portuguese, German, or English. Anonymous endpoint plus OAuth-gated tools for library search, RAG Q&A on a single pack, and Anki export.
x402 PDF text, pages, and metadata for AI/RAG. $0.0015 per successful PDF.
Read-only hosted MCP over CanonicAI's cited Answers corpus on canonicai.com.
SENATRAN: Recall, official-source lookup. Platform-hosted, pay per query with prepaid credit.
Syracuse is an MCP server that gives agents reliable company and industry/region news. Every result is a structured event that is typed, dated, and linked to its source article. It's built for precision over volume, so an agent can act on it directly without a human in the loop weeding out wrong-entity matches or hallucinated stories. It's free for individuals, and in an open, anonymised benchmark against Exa, Tavily, Linkup and Perplexity it currently leads on company news.
A high-performance, edge-native Data Refinery Engine built on Cloudflare's serverless AI stack (Workers, Workers AI, D1, KV, Vectorize) designed to continuously ingest unstructured data, refine it into pristine machine-readable structured intelligence, compute semantic diffs, and serve it directly to AI agents via the Model Context Protocol (MCP) and REST APIs.
Your private knowledge base: upload documents (.md, .txt, .docx, PDF, images), the platform indexes
LLM caching proxy (x402 USDC on Base) - exact + semantic cache. Free health.
Market data and web intelligence for AI agents, paid per call in USDC on Base via x402.
Appie.run's MCP server lets AI clients write articles in your brand voice, train and query website chatbots, and create trackable short links. Bearer auth with a project API key; 500 free credits on signup. Docs: https://appie.run/docs/mcp
Real-time web search with answer-ready results for Claude, Cursor and any MCP client. A Tavily alternative: same speed, 20.2% fewer tokens, higher answer quality (60.7% of decided duels won) on a public benchmark. Hosted on mcp.serpdive.com or npx serpdive-mcp.
The context platform for AI agents: code search, team decisions, and grounded project context.
Manage your Mistral platform — models, files, batch jobs, agents and RAG document libraries.
