"How to call a smart contract function" matching MCP servers:

An agnostic MCP server that reads arc.yaml from the workspace, exposing tools to map layers, trace slices, generate scaffolding, and validate architectural rules.

Thread Contract is a local runtime contract layer for AI coding-agent threads. It lets users pin explicit, thread-scoped rules without turning them into project policy or long-term memory.

Paid remote MCP server for Pydantic AI structured output providing contract validation, schema diff, repair hints, and audit-ready receipts.

Intelligent AI routing and integration platform for seamless provider switching

Enables token-efficient structural code exploration using tree-sitter AST parsing, with tools for symbol search, outlines, source unfolding, call graphs, and related-file discovery.

Graph-based tool retrieval for LLM agents. Builds a tool graph from OpenAPI/MCP specs and retrieves multi-step workflows via hybrid search (BM25 + graph traversal + embedding), recovering accuracy from 12% to 82% with 79% fewer tokens. Also works as an MCP Proxy to aggregate multiple servers behind 3 meta-tools.

Provides intelligent semantic code search using local AI embeddings, enabling natural language queries to find relevant code by meaning rather than exact keywords. Indexes codebases in the background with smart project detection and privacy-first local processing.

Provides 14 enhanced intelligent search tools for both international platforms (GitHub, StackOverflow, NPM, etc.) and Chinese platforms (CSDN, Juejin, WeChat docs, etc.). Each tool includes smart URL generation, search tips, and related suggestions for comprehensive technical research.

Enables developers to enforce versioned data contracts for MCP tool schemas, with additive-only evolution checked in CI, SHA-256 pinning against rug pulls, and signed handles instead of protocol sessions.

Enables validating API responses against expected schemas/JSON and listing OpenAPI endpoints to enforce API contracts between services.

A stateful MCP server that provides persistent memory, deterministic static analysis, and evolving conventions for AI coding assistants.

Enables secure execution of JavaScript and Python code in cloud-based E2B sandboxes with integrated file management capabilities, allowing Claude to run and test code safely in isolated environments.

Enables developers to manage Genesys Cloud Function Data Actions through natural language in Cursor, including validating, building, planning, and applying function deployments while enforcing safety controls like plan-before-apply and read-only mode.

MCP server that reduces AI agent token usage by up to 90% through intelligent context compression. Enables efficient code exploration, multi-file refactoring, and debugging by providing tools for smart reading, searching, and managing code context.

Smart Tree MCP cuts storage by up to 95% using quantum-context compression — not just files, but full project histories. Track, compress, and version smarter with zero-bloat ops across Git, FS, and memory.

MCP server providing an interactive GUI for users to input prompts and images, with integrated Google Gemini prompt optimization for AI-assisted development.

Connects AI assistants like Claude to PHP's XDebug debugger for runtime inspection, breakpoint control, and variable tracking, enabling natural language debugging of PHP applications.

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

MCP server for AI agents to send notifications, copy to clipboard, request confirmations, and collect text input from users across their devices.

Enables AI assistants to perform intelligent semantic code search across codebases using local AI embeddings for meaning-based retrieval.