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Enables benchmarking of Large Language Model APIs by measuring performance metrics such as generation throughput, prompt throughput, and Time To First Token (TTFT) with configurable concurrency levels and parameters.

LLM Experimentations

全面解析Llm ExperimentationsMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Llm Experimentations能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

Token usage tracker for OpenAI and Claude APIs with MCP (Model Context Protocol) support.

Connects to Lightning Network nodes and enables natural language queries for channel information, providing both human-readable responses and structured JSON data through the Model Context Protocol.

This server is to precess files for LNR.

Connects AI systems to Local Falcon API, enabling access to local SEO reporting tools including scan reports, trend analysis, keyword tracking, and competitor data through the Model Context Protocol.

Local Fc3f470b

全面解析Local Api MCP PythonMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Local Api MCP Python能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

Provides persistent local memory functionality for AI assistants, enabling them to store, retrieve, and search contextual information across conversations with SQLite-based full-text search. All data stays private on your machine while dramatically improving context retention and personalized assistance.

Semantic code search for AI agents — hybrid vector + BM25 with cross-encoder reranking, AST-aware chunking for 14 languages, conversation memory, code annotations, and search analytics. Zero config, zero API keys. Just bunx

42 local SEO tools for AI assistants. SERP tracking, Google Business Profile data, review monitoring, keyword research, AI visibility scoring, geogrid rank scans, citation audits, and competitive analysis.

Enables document search and retrieval using TF-IDF vector similarity across HTML and PDF files. Provides ingest, query, and vector store management capabilities through both HTTP API and MCP stdio interfaces.

Enables Claude to remember information about users across conversations by storing and retrieving data as entities, relations, and observations in a persistent local knowledge graph.

Headless web analytics for AI agents. A broad range MCP tools for traffic, events, funnels, conversions, sources, and performance. No dashboard — agents query structured JSON directly.

Enables querying and managing Logflare log sources, endpoints, and executing ad-hoc SQL via MCP.

loglmhq MCP-server-GitHub-repo

公开目录未提供摘要。

An MCP server for intelligent logo extraction and processing, supporting automatic recognition and extraction of logo icons from website URLs, and providing image processing and vector conversion functions.

Enables reading and analyzing Cloudflare Workers logpush data stored in R2 buckets. Supports searching logs with filters, viewing statistics, accessing errors, and browsing logs by date and environment.

Enables interaction with League of Legends game data through the Riot Games API. Allows users to query player statistics, match history, and game information using natural language.

Persistent local memory for Claude Code that indexes every session's JSONL file verbatim into SQLite + ChromaDB. Exposes 17 MCP tools for semantic recall, deterministic file replay, and fuzzy "do you remember when..." queries across your entire session history — no API calls, nothing leaves the machine.

Enables LLMs to process arrays item-by-item or in batches with a specific task, storing and retrieving results with optional summarization after completion.