Search & Knowledge MCP Servers

- An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context

- Self-hosted MCP server that indexes documentation from various sources and serves it to AI Agents with semantic search.

[](https://glama.ai/mcp/servers/AliceLJY/recallnest) - Persistent memory MCP server for AI coding agents (Claude Code, Codex, Gemini CLI). Hybrid retrieval (vector + BM25), cross-encoder reranking, knowledge graph with PPR traversal, session checkpoint/resume, and multi-scope isolation. Local-first with LanceDB + SQLite, zero external dependencies.

- Persistent memory with knowledge graph visualization, semantic/hybrid search, cloud sync (S3/R2), and cross-session context management.

[](https://glama.ai/mcp/servers/leesgit/claude-session-continuity-mcp) - Zero-config session continuity for Claude Code. Auto-captures context via Claude Hooks, provides 25 tools for memory, tasks, solutions, and knowledge graph. Multilingual semantic search (94+ languages) with cross-language retrieval.

[](https://glama.ai/mcp/servers/ggstefivzf) - Access legislative data from all 50 US states and Congress — search bills, get full text, track votes, and look up legislators via the LegiScan API.

[](https://glama.ai/mcp/servers/darktw/usecortex-mcp) - Persistent knowledge memory for AI agents. Two-way flow: read context into projects and write discoveries back. Structured by topic with AES-256 encryption.

- Lightning-Fast, High-Accuracy Deep Research Agent

- 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).

- Static server that provides persistent tool-specific context and rules for AI models

- 7-layer recursive agent memory with context branching, holographic recall, dream consolidation, and on-chain persistence. MCP-native with 10 tools for persistent agent cognition.

[](https://glama.ai/mcp/servers/dengls24/annota) - AI-powered paper annotation MCP server. Reads papers, highlights key findings with semantic color coding, explains formulas, and writes structured reading notes — all saved back to Zotero. Features two-phase workflow for large PDFs (63–80% context savings) and batch annotations.

[](https://glama.ai/mcp/servers/zzhang82/Agent-Memory-Bridge) - MCP-native, local-first memory for coding agents that turns coding sessions into reusable engineering memory: decisions, gotchas, and domain knowledge.

- Domain name lookup service, first via [RDAP](https://en.wikipedia.org/wiki/Registration_Data_Access_Protocol) and then as a fallback via [WHOIS](https://en.wikipedia.org/wiki/WHOIS)

- Visual explorer for [MCP Memory Service](https://github.com/doobidoo/mcp-memory-service) SQLite-vec databases. Browse, search, filter, edit memories with dashboard, timeline, UMAP projection, semantic clustering, duplicate detection, and association graph.

[](https://glama.ai/mcp/servers/Gaoshan0971/digeguigui) - Global reptile & exotic pet knowledge base. 633 species, AI identification, genetics calculator, 12-dimension care, health diagnosis, pricing, and blockchain provenance. Free tier: 9 tools, 10 req/min. MCP: https://api.digeguigui.com/mcp

[](https://glama.ai/mcp/servers/pzalutski-pixel/godotlens-mcp) - 15 semantic GDScript analysis tools via Godot's built-in LSP. Navigation, references, diagnostics, rename, and file sync for AI agents.

- Persistent identity architecture for AI agents. 16 MCP servers covering drives, emotional relationships, semantic memory with decay, working threads, learned patterns, journal, genesis (identity discovery), creative collision engine, forecasting, and voice. Zero dependencies beyond Python 3.8. Built across 938 conversations.

- Enable AI assistants to conduct structured, persona-driven sessions including interview preparation, personal reflection, and coaching conversations. Built-in timer management and performance evaluation tools.

[](https://glama.ai/mcp/servers/einiba/canyougrab-api) - Confidence-scored domain availability checking with real-time DNS + WHOIS lookups. Bulk check up to 100 domains per request. Each result includes availability, confidence level, data source, and registration details.

- Launch your conversational Quickchat AI agent as an MCP to give AI apps real-time access to its Knowledge Base and conversational capabilities.

- An Azure PaaS-hostable MCP server that provides a workspace-grounded knowledge graph for multiple developers using Azure Functions MCP triggers and Table storage.

[](https://glama.ai/mcp/servers/zzallirog/weighted-compact) - Inspectable memory substrate for Claude Code. Three read-only MCP tools (search_pairs, compact_session, substrate_info) over a local-first, signal-scored parse of `~/.claude/projects/`. Per-pair scores are numpy columns on disk, not opaque vectors in a service. Zero outbound calls (CI-enforced).

[](https://glama.ai/mcp/servers/@Smriti-AA/smriti) - Self-hosted knowledge store and memory layer for AI agents with knowledge graph, wiki-links, full-text search (FTS5), and agent memory with namespaces and TTL.