"Actual Budget" matching MCP servers:

Enables MCP-capable agents to inspect a local Synthesizer installation, query local grids and APIs, find examples, plot grid spectra, and validate scripts, so answers are grounded in the user's actual environment.

Enables users to search and read verbatim passages from Terry Bouricius's book 'Democracy Without Politicians', honoring the author's request to display his actual words rather than AI summaries.

Generates and maintains grounded, enterprise-grade documentation for any codebase by analyzing real project artifacts, ensuring every claim is traceable to actual findings.

A read-only MCP server that gives Claude access to Canvas LMS courses — due dates, assignments, rubrics, grades, syllabi, modules, pages, files (PDF/DOCX/PPTX), announcements, calendar, discussions, and quizzes — so users can build study guides, practice quizzes, and weekly plans from their teachers' actual materials. It cannot submit, post, or change anything in Canvas.

Enables searching and retrieving current KEITI regulation articles, verifying citations against actual provisions, tracing cross-references, and checking whether subordinate rules need updates using ALIO-synced data.

Indexes GitHub repositories and provides living documentation context to coding agents, enabling them to ground work in actual repository conventions and propose doc updates.

Enables settling Yu-Gi-Oh! ruling questions by letting Claude build boards, play both players through EDOPro's actual rules engine, and cross-check Konami's official FAQ entries and Q&As. Also exports scenarios as replayable EDOPro puzzle files.

Enables AI agents to query a cited, read-only reference on US commercial glass and glazing through tools for topic browsing, keyword search, insulating-glass performance filtering, coated-glass and aluminum-framing "or equal" cross-references, code limits, and early-stage budget ranges. Every answer returns topic and section citations with confidence tags.

Gives coding agents real product-screen references, design materials, and recorded design references so UI work is grounded in actual surfaces rather than generic templates. It also serves the bundled design workflow, command playbooks, and connection diagnostics as MCP resources, prompts, and tools.

Enables on-demand access to actual AOSP and AndroidX source code, allowing AI tools to search classes, extract method bodies, inspect inheritance, and navigate definitions or references across Android framework internals and Jetpack libraries.

Turns Confluence documentation into an AI-powered knowledge base, enabling natural language questions about your systems with answers retrieved from your actual documentation through semantic search.

Enables LLMs to generate code for interacting with the Smaregi platform API by providing API usage documentation, but does not call the actual API.

Enables AI tools to retrieve and search actual AOSP and AndroidX source code on demand, including class lookup, method extraction, class members, hierarchy, source search, and optional cross-file navigation via LSP. It provides precise, offline-ready access to framework internals such as Activity lifecycle, ViewModel restoration, and Compose internals.

Enables auditing of every citation in a LaTeX or Markdown manuscript (English or Portuguese) against the actual passage in the cited PDF, verifying quotes literally, fetching sources from local folders, Zotero, arXiv and open-access APIs, and flagging bibliography problems such as retractions or missing DOIs. It also drafts and safely applies approved rewrites or new evidence-backed paragraphs in the .tex file with validation, encoding preservation and backups.

Read any PDF or image into agent context as markdown (tables preserved) or plain text. Every call returns its exact cost_usd, a free estimate_cost tool quotes documents before you commit, and max_pages / max_cost_usd caps refuse before any spend — OCR agents can budget. $0.75 per 1,000 pages, first 100/month free.