Векторный поиск и RAG

Persistent memory and codebase context for AI coding agents. FAISS vector store, AST reverse index with O(1) symbol

LLM-driven context and memory management with wide-recall + precise-reranking RAG architecture. Features multi-dimensional retrieval (vector/timeline/knowledge graph), short/long-term memory, and complete MCP support (HTTP/WebSocket/SSE)

Korean & global crypto exchange routing, arbitrage signals, and x402 USDC micropayments for AI agents. 16 tools, 9 exchanges, 11 bridge coins

An MCP server for accessing all of CustomGPT.ai's anti-hallucination RAG-as-a-service API endpoints

Convert .eml email exports to clean Markdown with YAML front matter — thread splitting, signature stripping, attachment extraction, and calendar parsing. Tuned for feeding archived email into RAG/LLM pipelines

Corporate debt structure data for AI agents. Search 250+ issuers, 5,000+ bonds with leverage ratios, seniority, covenants, guarantor chains, and FINRA TRACE pricing

Record development decisions as structured JSON, embed as vectors via Gemini, and search semantically over MCP. Shared store across Claude Code, Cursor, Windsurf, and any MCP client. CLI + MCP server, local-only, free Gemini embedding tier

Lightweight local RAG MCP server for semantic vector search over markdown documents. Reduces token consumption by 40x with sqlite-vec and multilingual-e5-small embeddings. Supports filtered search by directory and filename patterns

MCP server for AI agent for cybersecurity: automate assessment of documents, questionnaires & reports. Multi-format parsing, RAG knowledge base,Risks, compliance gaps, remediations

MCP server for Greater China local life services: Meituan/Ele.me food delivery, Didi/Meituan ride-hailing, WeChat Pay/Alipay, Amap/Baidu Maps, 12306 high-speed rail, Taobao/JD/Xianyu e-commerce, Hong Kong government e-services, and more

Grounding / hallucination guard: verify a claim against evidence (Supported/Refuted/Not Enough Evidence) with a confidence + abstain flag, for RAG and agents

Long-term memory for AI agents (Claude Code/Desktop, Cursor, ChatGPT, Codex, OpenClaw) backed by a local Obsidian markdown vault. Hybrid retrieval (BM25 + ML embeddings + BGE reranker, RRF-fused), HNSW + int8 quantization, agentic RAG (HyDE + sub-question), GraphRAG-light (Louvain wikilink community detection)…

All-in-one Feishu/Lark MCP server (84 tools). Send messages as the actual user (not bot), plus full official-API coverage of docs, bitable, wiki, drive, calendar, tasks, OKR. Cookie + OAuth UAT + app-credential auth

Convert unstructured business documents (PDF, DOCX, invoices, contracts, payroll) into structured, LLM-ready datasets with automatic classification, field extraction, PII masking (10+ locales), and quality scoring. 6 async MCP tools covering the full pipeline: submit → poll → extract → build → export JSONL/RAG/CSV

Self-improving tool discovery for AI agents. Searches registries, installs MCP servers as subprocesses, and persists tool knowledge across sessions — no restarts needed

Multi-venue perpetual funding-rate data & cross-exchange funding arbitrage across 20+ exchanges (incl. HIP-3 sub-DEXes). Free screener; paid signals via x402 micropayments with built-in auto-pay. 3 tools, stdio. Install with

Code-quality gate for Bazel monorepos: runs lint, coverage and architecture checks off the build graph and returns a pass/fail verdict an agent can request before finishing a change

Local-first shared memory and coordination layer for AI coding agents: repository evidence, reservations, handoffs, code graph context, and dashboard review backed by PostgreSQL/pgvector

Build a searchable index from PDFs, EPUBs, and Word docs. Claude queries it via MCP and pulls grounded answers with exact page-and-section citations. Local-first, no cloud dependency

GXtract is a MCP server designed to integrate with VS Code and other compatible editors. It provides a suite of tools for interacting with the GroundX platform, enabling you to leverage its powerful document understanding capabilities directly within your development environment

Build and host full-stack web apps and sites on Hatchable from any MCP client. DB, auth, storage, domains, and cron per project. Free tier

Dual-memory MCP system (PostgreSQL 17 + pgvector + NVIDIA NIM). 11 tools: search, save, profile, health, auto-repair, stats, tune, dedup, checkpoint, maintenance. Sparse Selective Caching (SSC) with 4-phase progressive retrieval. Bilingual EN/ES. python scripts/hipocampo_mcp_server.py

A JetBrains IDE plugin that exposes an MCP server, enabling AI coding assistants to leverage the IDE's indexing and refactoring capabilities (rename, safe delete, find references, call hierarchy, type hierarchy, diagnostics and more)

interact with Keboola Connection Data Platform. This server provides tools for listing and accessing data from Keboola Storage API