"How to schedule daily MCP server actions" matching MCP servers:

Scans GitHub Actions workflow files for dangerous triggers, template injection, unpinned actions, excessive permissions, and secrets in shell commands before they are committed, exposing the checks as MCP tools for agents.

Enables AI agents to run automated daily code reviews, retrieve Markdown reports, and curate a project knowledge base across any Git repository.

A runtime-free MCP server that converts source code into AST🌲, regardless of language.

Turns GitHub repository history into a cited maintainer skill for coding agents, providing tools to collect evidence, query the knowledge graph, and inspect bundles.

Enables Claude to use Google Gemini as a secondary AI through MCP for large-scale codebase analysis and complex reasoning tasks. Supports both Gemini Flash and Pro models with specialized functions for general queries and comprehensive code analysis.

Enables automated migration of Vue projects to React with intelligent analysis, task management, and learning from user modifications.

Enables AI assistants to analyze project folders for dependencies and frameworks and fetch current documentation or datasheets from the web.

A stdio MCP server that audits other MCP servers by linting their tool schemas and calling tools with malformed inputs to produce a 0–100 conformance score and Markdown report.

Enables migration of test automation projects from WebDriverIO to Playwright using AST-based transformations. Provides tools for analyzing tests, converting syntax, refactoring to Page Object Model, and generating migration reports.

Converts vector PDF circuit schematics into evidence-preserving SchematicIR JSON with tools to inspect, convert, and validate schematic PDFs.

Enables AI agents and developers to independently verify code and documentation claims against the repository, producing evidence-backed audit reports and pull-request checks.

A local MCP server that gives coding agents hybrid code search and a code graph, so an agent can locate the right file and its callers in a single question instead of many grep and read calls. It provides symbol lookup, caller/callee analysis, repository maps, and incremental indexing for multiple languages, with no API keys or cloud dependency.

MCP server that scans source code for MCP protocol features deprecated or removed by the 2026-07-28 release candidate, offering tools to inspect spec compatibility and generate migration checklists.

Enables MCP clients to run local, read-only audits that detect risky GitHub workflows, undocumented environment variables, possible credentials, and conflicting dependency configuration before merging.

Enables MCP clients such as Claude Desktop or Cursor to inspect a coffee-shop sales database schema, validate SQL, and run guarded read-only queries. It supports natural-language questions by exposing tools for schema description, SQL checking, and safe query execution.

Enables agents to grade other MCP servers for LLM usability, covering descriptions, schema design, naming, token cost, and consistency, while also explaining grading rules.

Enables AI coding agents to extract Figma design data and convert it into Flutter widgets and screens. Supports theme setup, component analysis, asset exports, and provides Flutter implementation guidance from Figma designs.

Static analysis scanner for multi-tenant SaaS and MCP server code that catches cross-tenant data leakage with 57 deterministic rules, including an MCP server for Claude Desktop and Cursor integration.

Enables agents to vet MCP servers and agent configurations before trusting them, using local static analysis to detect injection, dangerous capabilities, exfiltration paths, and CVEs, with policy-based gating for CI.

Enables static security scanning of MCP servers, AI agent skills, and plugins by detecting attack patterns across severity levels and producing SARIF output for GitHub Code Scanning.

Enables developers and AI agents to compress context, plan token budgets, rerank results, patch code, analyze ASTs and dependencies, isolate stack traces, compile polyglot types, solve deterministic math, schedule constraints, judge A/B tests, and diff agent memory checkpoints through 12 specialized tools.

Exposes Beam's local, offline risk-scanning tools to any MCP-compatible host, enabling read-only heuristic detection of risky AI agent patterns without executing, blocking, or approving actions.

An MCP server that edits files through a real Neovim instance, giving agents access to LSP diagnostics, formatting, code actions, and plugin commands.

Enables agents to call typed code-review and content-moderation decision tools, returning structured verdicts, probabilities, and confidence-gated actions.

Translate Python between English and your language, with round-trip verification. Pack-based and reviewed, not model-guessed: translate files both ways, look up how terms render, check identifier names, and report how legible a codebase is in a language, all locally with uvx legesher-mcp.

A local MCP server that captures coding context, tracks developer sessions, and powers daily insights.

Analyzes Git commit history and code diffs to auto-remember development context, providing commit timelines, work sessions, unfinished task detection, and daily/weekly reports.

Scores local git repositories for README substance, license, package description, TypeScript config, tests, and GitHub Actions, providing a numbered hygiene report.

Helps AI read GitHub repository structure and important files. Want to quickly understand what a repo is about? Prompt it with "read https://github.com/adhikasp/mcp-git-ingest and determine how the code technically works".

Enables AI agents to inspect APKs and resources, analyze native libraries, trace runtime behavior with Frida, and connect app screen actions to code through ADB.

Enables interaction with SAP ABAP systems via ADT APIs, allowing management of ABAP objects, transport requests, and code analysis through MCP clients.

Enables agents and terminals to reverse engineer native binaries, JavaScript/Electron apps, .NET assemblies, and websites, returning findings with supporting evidence and stated limitations. Analysis runs locally, so users can investigate features without source code, explain how they work, and build comparable implementations.

Enables coding agents to query a codebase's git-history coupling graph to find blast radius, missing coupled files, explain why files change together via PRs/issues, and report how much of the graph was inspected.

MCP server that performs mutation testing and diff scoping to score how trustworthy tests are for detecting regressions in changed code.

Connects coding agents to local analysis tools that inspect native binaries, JavaScript/Electron apps, .NET assemblies, and websites, returning findings with supporting evidence and stated limitations. This lets an agent explain how an existing feature works without source code and then build an equivalent implementation for the user's own project.

Enables AI assistants to trace which C# code, controller actions, and Razor pages reach a given SQL Server table or stored procedure in a local source tree, returning paths and confidence labels.

Enables AI agents (and a matching CLI) to inspect native binaries, JavaScript/Electron apps, .NET assemblies, Go/Rust/WASM artifacts, EVM bytecode, SQLite databases, recorded crashes, and websites without source code, explaining how features work and returning the evidence and limitations behind each conclusion. Analysis runs locally, using optional Hopper, Ghidra, or IDA providers for native targets.

MCP server bridging tool calls to Neovim editor actions via RPC. Enables AI agents to open files, run Lua, manage quickfix lists, fetch diagnostics, and send notifications.

Tells you how you and your Claude agent actually work together. Reads CLAUDE.md, hooks, skills, memory + scheduled tasks and writes you a letter. Local-only, no API keys, no data leaves your machine.

Gives coding agents a read-only, token-budgeted code graph spanning every repository in a project: symbols, calls, imports, and cross-repo HTTP, config, and package links, each backed by file:line evidence on both sides. This lets agents trace how symbols connect across repos and determine the impact of an API change by distinguishing links that are actually used from ones that are only declared.