"Abstract" matching MCP servers:

A smart proxy server that prevents context window bloat by caching large tool responses to local files and returning compact resource links. It supports format conversion and data uploads, allowing LLMs to handle massive datasets without consuming excessive tokens.

Provides comprehensive wallet, token, and smart contract utilities for the Abstract Testnet and Mainnet, including balance checks, transfers, and ERC-20 deployments. It enables users to manage Abstract Global Wallets and generate EOA accounts through natural language commands.

Reusable MCP server for Python backend development with FastAPI, MongoDB, and Stackraise support.

Provides advanced code structure and semantic analysis through Abstract Syntax Trees (AST) and Abstract Semantic Graphs (ASG) across multiple programming languages. It enables tasks like incremental parsing, complexity analysis, and AST diffing to help models understand and navigate codebases.

A robust, language-agnostic Model Context Protocol (MCP) server that provides AI coding agents with the ability to edit files surgically via Abstract Syntax Trees (AST) instead of relying on token-heavy, brittle search-and-replace or diff operations.

Scans local folders for PDF papers, extracts title/abstract text, and moves files to categorized folders based on classification decisions made by Claude or another MCP server.

Enables AI assistants to search and analyze codebases using Abstract Syntax Tree (AST) pattern matching with ast-grep. Supports structural code search, pattern testing, and AST visualization across multiple programming languages.

MCP server for Neo4j that provides abstract graph operations for LLMs, enabling safe and consistent interaction with Neo4j databases through tools like search, insert, update, delete, and schema introspection.

Enables searching and retrieving detailed information from PubMed articles using the NCBI Entrez API. Supports configurable search parameters including title/abstract filtering and keyword expansion to find relevant scientific publications.

Lead generation MCP server for AI agents. Find emails, verify contacts, enrich profiles, and search prospects using Hunter.io, Apollo.io, and Abstract API.

MCP server for scientific grounding: search and discover open-access research papers across arXiv, OpenAlex, Crossref, PubMed, and Semantic Scholar, and retrieve references/citations from paywalled journals via public DOI/abstract metadata.

abstractapi-mcp-server

This MCP server enables AI models to analyze local Python codebases using abstract syntax trees, providing tools for file structure analysis, symbol search, import graphing, docstring auditing, and refactoring prompts without loading entire source files into context.

deBridge MCP finds optimal cross-chain swap routes, check fees and conditions, and initiate non-custodial trades across major blockchain networks. Supported: Ethereum, Solana, Arbitrum, Base, BNB Chain, Polygon, Optimism, Avalanche, Linea, Berachain, Tron, Cronos, Gnosis, Monad, Sonic, Flow, HyperEVM, Sei, Story, Injective, Abstract, MegaETH, Mantle, Plasma, Zilliqa, Sophon, Bob, Neon, and more

A Node.js implementation that provides tools for advanced PubMed searching, including full abstract retrieval and PMC full-text search within open access articles. It features SQLite-backed search history and allows users to filter results by MeSH terms and specific publication dates.

Base library for building MCP e-invoicing servers: abstract base classes, shared Pydantic models, XML utilities, and OAuth2-capable async HTTP client.

Enables LLM-driven text game state management by exposing MCP tools for managing players, locations, items, entities, and abstract concepts.

Enables fetching HuggingFace daily papers for today, yesterday, or a specific date, providing paper details including title, authors, abstract, tags, votes, and links.

This project implements a customizable MCP server to execute RTE protocol. The intention of this project is to be easily extensible. You can add your own MCP tools by using RteUtils class. Also is needed to define the RTE connection parameters and the RTE flow in a yaml format.

Provides medical symptom extraction, differential diagnosis generation, PubMed literature search, and abstract summarization tools for LLM agents.