"Perl" matching MCP servers:

Provides semantic code intelligence tools (search, structural views) and a workspace TUI interface for LLM agents to efficiently navigate codebases, manage context, and maintain architectural patterns across Python, Java, C++, and Perl projects.

MCP server for analyzing Perl code with Perl::Critic, enabling code quality checks via both file paths and direct code input.

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Connect Peil to Claude (or any MCP client): log hours, draft invoices from unbilled hours, and check where you stand — from a prompt.

Enables LLMs to analyze Linux perf data files using 26 perf analysis commands, including report, script, annotate, and more, through typed tool parameters.

MCP server for the Geopera geospatial data platform that enables AI agents to discover imagery, place and manage orders, and run analytics using the same API as other Geopera clients.

A Model Context Protocol (MCP) server implementation that exposes Pearl's AI and Expert services through a standardized interface

Enables SSH connection management with remote command execution and file transfer capabilities, plus App Store Connect integration for managing applications, team members, and TestFlight operations.

MCP server for BESSER low-code platform enabling AI assistants to create, manipulate, and generate code from domain models through natural language. Supports model creation, deletion, and multi-language code generation (SQL, Python, Java, etc.) via the Model Context Protocol.

A production-ready Python MCP server providing tools for fetching live weather data, querying local SQLite databases, reading files, summarizing webpages, and performing safe mathematical calculations. It enables MCP-compatible LLM clients to execute these tasks autonomously as part of agentic workflows.

MCP server for Peruvian government data, enabling search and anomaly detection in public procurement (OSCE) and legislative tracking (Congress), plus semantic search over both domains.

MCP server for git-perf, a Git performance/review ledger. Enables agents to record and query performance review data via REST and MCP, with a web interface.

Enables dynamic generation of tools based on user-specific permissions from an external API. Users receive personalized tools tailored to their access rights, with intelligent caching and graceful fallback to static tools.