"Semantic Scholar" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Catch AI-fabricated citations (real DOI + fake title). Retraction, open-access, 10,000+ CSL styles.
Semantic retrieval across 292,000+ Indonesian regulations and 5.4M+ legal provisions, updated daily. Give AI direct access to Indonesian regulatory knowledge before reasoning.
Google Scholar search results, citation counts and citation export formats, as structured JSON.
Give your AI agent persistent, governed memory for every project. At task start it recalls the approved decisions, conventions, risks and architecture (semantic search, ranked by importance); at close it proposes what was learned as typed memories that you review and approve — governance, not a notes dump. Agents propose, humans govern: edits go back to pending and deletion is human-only by design. Connect Claude Code, Cursor, Claude Desktop or any MCP client in two minutes with just your API key — hosted (nothing to install) or locally via `uvx solucortex-mcp`. Built by SoluAI and dogfooded daily: SoluCortex is developed using its own living memory.
XMemo is a user-owned Memory OS for AI agents, providing a shared, persistent memory layer across AI assistants, IDEs, CLIs, tools, projects, and sessions. It enables ChatGPT, Claude, Codex, Cursor, Gemini, and other supported AI clients to access authorized long-term context without requiring users to repeatedly explain their preferences, project decisions, or previous work. Beyond basic memory storage and retrieval, XMemo supports semantic search, contextual recall, memory updates and corrections, source attribution, version history, project-scoped context, task tracking, and governed memory lifecycle management. Identity-aware access controls, scoped authorization, and memory isolation help users manage which agents and workflows can access their information. XMemo also provides advanced capabilities for structured knowledge, reusable procedures, and memory consolidation through its broader Memory OS platform. Connect through hosted MCP with OAuth or bearer-token authentication, or integrate directly through REST APIs and supported client tools. Memory remains available across authorized clients and sessions, with user-controlled access, export, and deletion. Website: https://xmemo.dev Documentation: https://xmemo.dev/docs
Patent-pending semantic memory for AI agents: quality-gated writes, conflict tracking. Free trial.
Resolve scholarly identifiers (DOI, PMID, ISBN, arXiv, ISSN, ADS, WHO IRIS) into citations (10,000+ CSL styles) and exports (BibTeX, RIS, EndNote...), plus retraction, open-access, and citation-fabrication checks. Six tools, anonymous-friendly Streamable HTTP.
Supericons lets AI coding agents search, recommend, and retrieve SVG icons from a semantic registry of 20,000+ free icons.
Official MCP server providing AI assistants with direct access to Stimulsoft Reports & Dashboards developer documentation. Enables semantic search across FAQ, Programming Manual, Server Manual, User Manual, and Server/Cloud API references across all Stimulsoft platforms (.NET, WPF, Avalonia, WEB, Blazor, Angular, React, JS, PHP, Java, Python).
Honeydew AI Documentation MCP — semantic search and ripgrep-grade filesystem queries over Honeydew AI docs and OpenAPI specs, for AI coding agents.
RedM (Red Dead Redemption 2 multiplayer) / RDR3 modding. Hosted HTTP endpo int: native lookups (hash ↔ name), semantic search over framework docs (VORP, RSGCore, oxmysql), and grep over `rdr3_discoveries` community data tables (peds, weapons, animations, AI flags, props). No install, no auth.
Built for companies. Ready for AI agents. PaperOffice is the headless DMS your agent can actually operate: one MCP endpoint to search, read, upload, extract and sign business documents — no UI, no glue code. What the tools do: full-text and semantic search across workspaces · read existing OCR text without a new job · three-step upload with presigned URLs · AI-OCR (text, line boxes, tables) · structured extraction for invoices and 60+ document types (IDP) · PDF generation from Markdown/HTML · e
**ColdState Knowledge Search MCP Server** https://github.com/daniel-coldstate/coldstate-mcp Semantic search over 64.6M knowledge entries — the structured alternative to web search APIs and web scraping for LLM agents. No crawling, no rate limits, sub-3s responses. Cloud-hosted at services.coldstate.ai
Shared memory for coding agents and their teams: project docs with semantic search, plus epics, tasks, open questions and decisions your agent reads and writes over MCP. Teammates and their agents share the same board. Deploy and permanent delete stay human-only and are enforced by the server. Free tier, no card. Setup: https://app.bilgai.com/docs/connect — API key (blg_) as Bearer or OAuth. Issues: https://github.com/volkansuner/bilg-feedback
Persistent knowledge graph for AI-augmented teams. Store decisions, findings, and standing rules across agent sessions with semantic search and typed connections. Includes cross-session memory, audit trail, workspace isolation, and secret detection. Built for teams running agents that need to remember. Free until launch with team tier as default, anon trial available.
Search, organize, and chat with your saved Reddit posts. Semantic search, labels, notes, reading recommendations, and library insights for your AI assistant.
A semantic search server that gives AI assistants instant access to Dodo Payments documentation and knowledge base.
MCP server for makeup.land — an Israeli professional cosmetics retailer. Catalog tools (list_products with cross-lingual semantic search and ΔE-ranked shade matching that returns shade_match: {hex, delta_e} per product, plus validate_gift_card) work anonymously. Customer-data tools (list_brands, get_customer, get_cart, list_orders, list_payment_links, get_customer_best_deals) need a bearer token issued via shop@makeup.land.
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.
Discover, resolve, and query official Brazilian economic data with semantic search and provenance.
