"A service for getting live cryptocurrency prices and sending smart contract transactions" matching MCP servers:

An MCP server that statically audits Solidity smart contracts for common vulnerabilities like reentrancy and access control, enabling developers to identify and fix security issues via natural language.

Enables scanning Solidity smart contracts for 13 vulnerability classes using pattern-based analysis; provides full audit, quick scan, gas analysis, and detector catalog through MCP tools.

Enables interaction with the Monad blockchain to analyze smart contract source code for functionality and security, with decompilation support for unverified contracts.

Enables users to perform static security audits on EVM Solidity contract code for critical flaws such as reentrancy state changes, unhandled external calls, unchecked delegatecall, and tx.origin authentication vulnerabilities, returning risk audit reports.

Enables automated Solidity smart contract auditing by analyzing callgraphs and control flow to detect reentrancy vulnerabilities. Integrates with MCP-compatible clients to provide deterministic, zero-dependency security assessments.

Fetches verified EVM smart contract source code, scans for vulnerabilities, analyzes token holder distribution, and generates audit reports.

Enables Solidity callgraph and control-flow analysis to detect reentrancy vulnerabilities in smart contracts, with MCP integration for automated security auditing and DeFi vulnerability triage.

Enables static auditing of EVM Solidity smart contracts to detect critical vulnerabilities such as reentrancy state changes, unhandled external calls, unchecked delegatecall, and tx.origin authentication flaws, producing risk audit reports.

Enables business services to push error logs and generate diagnostic reports using MCP tools for log searching, code querying, and report generation.

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.

An MCP server that turns Zod schemas into mocks, violations, and contract tests, enabling AI agents to reason about API contracts without manually crafting payloads.

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.

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.

Enables AI assistants and CLI users to run automated bytecode security audits of EVM smart contracts on Base Mainnet, detecting risky opcodes and interface signatures, scoring risk, and unlocking verified results via x402 USDC micropayments.

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

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

Enables AI assistants to search local codebases semantically by meaning, automatically indexing code and returning relevant chunks even when terminology differs. It also supports package version lookup, workspace switching, reindexing, cache clearing, and server status checks.

Enables AI assistants to search codebases by meaning using local AI embeddings, along with package version lookup and runtime workspace, cache, indexing, and status management.

Enables AI assistants to search a codebase by meaning rather than exact keywords by indexing files with local AI embeddings, alongside package-version lookup and index management tools. It supports incremental, resource-throttled indexing across multiple workspaces and IDE integrations.

Enables AI coding assistants to search a local codebase semantically using AI embeddings, finding relevant code by meaning instead of exact keywords. It also provides package version lookup, manual reindexing, cache clearing, workspace switching, and server health status tools.

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.

Enables AI assistants to search a codebase by meaning using local AI embeddings, finding relevant code even when terminology differs from the query. Also provides package version lookup across 20+ registries, workspace switching, reindexing, cache clearing, and status checks.

Enables AI coding assistants to search a codebase by meaning using locally generated embeddings, so relevant code is found even when terminology differs from the query, along with package version lookup, reindexing, cache reset, workspace switching, and status tools. Indexing runs progressively in the background with CPU throttling and a SQLite cache, letting searches work immediately on large projects.

Enables AI assistants to perform intelligent semantic code search across a codebase using local AI embeddings, with tools for reindexing, cache management, workspace switching, package version lookup, and status checks.

Enables LLMs to progressively explore a project's dependency graph and retrieve only relevant code through a three-layer MCP workflow, with AST skeletons, Prisma schema extraction, token budgeting, and secret redaction.

Enables AI coding assistants to search codebases by meaning using local AI embeddings, with tools for indexing, cache and workspace management, status checks, and latest package-version lookup.

Enables AI coding assistants to search codebases by meaning using local AI embeddings, and provides tools for package version lookup, reindexing, cache clearing, workspace switching, and status checks.

Enables AI assistants to perform semantic code search across local codebases using AI embeddings, with support for indexing, cache management, workspace switching, status checks, and package version lookup.

Enables AI assistants to search a codebase by meaning using locally generated embeddings, so relevant code is found even when the query's wording differs from the code. It also supports package version lookups across many ecosystems, plus reindexing, cache clearing, workspace switching, and server health checks.

Enables AI assistants to search codebases by meaning using local semantic embeddings, and provides tools for package version lookup, reindexing, cache clearing, workspace switching, and server status.