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MCP servers

23 servers that let your AI assistant read data and take actions in the tools you use.

23 results“Indexing”

llamaindexmcp is a server for managing and indexing data efficiently.

DataIndexing

tsg_indexer

entrepeneur4lyf

A library for indexing code repositories using Tree-sitter Stack Graphs, designed to be used in MCP servers and other tools.

ToolsIndexing+3

Using MCP tool practices to empower an LLM to cross reference incident data of security alerts with known KEV/NVD data and escalate accordingly, removing noise and drawing attention to more valid concerns. Uses LangChain/LangGraph with FAISS vector indexing for local semantic queries.

DataSecurity+6

doctor

sisig-ai

Doctor is a tool for discovering, crawl, and indexing web sites to be exposed as an MCP server for LLM agents.

WebIndexing

Project allows document indexing in vector database and then search. Supports Jira (a ticket is a document) and Confluence (a page is a document). Provides abstraction to add more sources. Supports MCP protocol to use the vector search as a tool in AI agents.

DatabaseSearch+8

VideoDB

video-db

Bridges to VideoDB's video processing capabilities for searching, indexing, subtitling, and manipulating video content through specialized context resources.

databasesearch

MCP RAG Server enhances LLM responses by indexing project documents for context.

DocumentProject+3

MCP RAG Server enhances LLM responses by indexing project documents for context.

DocumentProject+3

Naga-LLM-MCP

Xxiii8322766509

Naga-LLM-MCP is an emotion AI chat program with memory and smart topic indexing.

ChatIndexing+1

Kontxt

ReyNeill

Codebase indexing MCP server

Indexing

Provides persistent long-term memory capabilities through semantic indexing, retrieval, and search functions with support for multiple LLM providers and PostgreSQL vector storage.

searchstorage

Files-DB

randomm

Provides a local vector database system for semantic code search with zero-configuration setup, real-time file monitoring, and incremental indexing to help developers navigate large codebases efficiently.

filesystemdatabase+1

Enables semantic documentation search and retrieval using vector databases, allowing for URL extraction, source management, and indexing queues with support for multiple embedding providers including Ollama and OpenAI.

databasesearch

PDF RAG Search

mytechnotalent

Enables AI to search and extract information from PDF documents through semantic search with FAISS vector indexing and sentence transformers

search

ChromaDB-powered local indexing support for Cursor, exposed as an MCP server

SupportIndexing

VectorCode

Davidyz

A code repository indexing tool that enhances your LLM (Large Language Model) experience.

IndexingModel+1

Extracts text and performs OCR on PDF files using Python libraries for tasks like document analysis and content indexing.

analysiscontent+4

Elasticsearch MCP server with available features including mappings management, search and indexing and index management, etc.

elasticsearchmanagement+2

Apple Notes

Dingzeefs

Integrates with Apple Notes to enable listing, searching, creating, and indexing notes using semantic and full-text search capabilities, leveraging LanceDB for efficient data storage and on-device embeddings for natural language interactions.

datalanguage+3

PDF Reader

algonacci

Provides functionality to read and extract content from protected and unprotected PDF files, enabling document analysis, content indexing, and data extraction workflows.

analysiscontent+3

Memory

ebailey78

Provides structured memory management for project-based work through markdown file storage, enabling persistent context across chat sessions with efficient Lunr.js indexing for retrieval, updating, and relating memories.

chatfile+5

Integrates with Google Search Console API to provide website search performance analytics, indexing status monitoring, and sitemap management for SEO professionals

analyticsapi+3

Integrates with Elasticsearch to enable index management, document indexing, and powerful search capabilities across large datasets.

documentelasticsearch+2