"Current trading prices and market information" matching MCP servers:

Run Semgrep static analysis from an AI agent. OWASP top 10, secrets detection, custom rule packs, baseline scanning. Curated by Archimedes Market with a verified Trust Report.

Enables AI agents to analyze and diff binaries by driving Ghidra headless or inside its GUI, exposing native reverse-engineering tools such as listing functions and segments, searching strings, decompiling, disassembling, and following cross-references. Ships with a devcontainer and supports local stdio or remote HTTP deployment.

Enables MCP clients to load eight on-demand coding skills and inspect project repositories through bounded, read-only map, search, read, diff, checks, and style tools. It keeps context lean by loading skill bodies only when needed and limiting repository scan and output sizes.

MCP server that provides npm package information for AI agents during TypeScript development.

Automatically converts JoinQuant quantitative trading strategies to Ptrade platform format, supporting direct code input or file paths, with automatic API mapping and detailed conversion reports.

locidx

An MCP server that scans codebases to extract structural information (classes, functions, etc.) with flexible filtering options and outputs in LLM-friendly formats.

Compare evidence-linked documentation claims with facts observed in the current source tree.

Checks mocks, stubs, and spies against current production code to detect stale or mismatched test doubles without running any tests.

Extracts today's Git commit history and code changes from a local repository, filtering by the current user and excluding merge commits, for integration with MCP clients like Claude Desktop.

MCP server that exposes actionable Omniboard checks for the current project to a local agent.

Enables coding agents to navigate and query source code by providing context, symbols, and call graph information through a graph index.

Provides project context for AI agents in VS Code by analyzing technologies, structure, AGENTS.md rules, current branch, and source code without allowing arbitrary commands.

Enables AI agents to analyze large codebases and document collections by consulting large context window models (up to 2M tokens) via OpenRouter when files exceed the current agent's context limits.

Gives MCP clients a read-only, evidence-based view of explicitly approved local projects and individual Codex sessions, enabling codebase browsing, session review, and comparison of session records against current source and bounded Git history without modifying sources or controlling sessions.

Enables AI coding agents to inspect Runable projects over MCP, providing read-only access to project information and configuration via Runable's inspector.

Enables coding agents to generate question-scoped repository maps, inspect symbols and SQL lineage, and audit working-tree diffs for ripple candidates, all verified against the current Git commit.

https://gopls-mcp.org/ MCP server for golang projects development: Expand AI Code Agent ability boundary to have a semantic understanding and determinisic information for golang projects.

Enables AI agents to inspect the current architecture, retrieve the target pattern for a file, and check edits for conformance using local .archsteer artifacts without network access.

Enables coding agents to persist evidence-backed codebase understanding, reuse it while its support remains current, and receive CURRENT, STALE, or UNVERIFIABLE status so they can narrowly re-check changed scopes.