"author:0rkz/byte-mcp-server" matching MCP servers:

MCP server for lossless YAML 1.2 editing by AI agents. Two tools — noyalib_get (read a value at a dotted/indexed path) and noyalib_set (write a value, preserving comments/formatting byte-for-byte). Pure Rust, streaming-first serde, JSON Schema validation. MIT OR Apache-2.0.

A pure-Python MCP server providing local byte-wrangling utilities including encoding, hashing, number conversion, and Ethereum primitives, with no network calls required.

Per-byte data marketplace for AI agents on Arbitrum. Discover publishers, evaluate on-chain Proof-of-Quality Score (PQS), subscribe + pay per request in USDC via the x402 gateway. 13 tools, no API keys, live testnet.

Enables streamlined academic research and author disambiguation by providing AI agents with optimized access to the OpenAlex.org API. It supports searching for authors, resolving institutional affiliations, and retrieving scholarly works with detailed citation metrics.

Verbatim context compaction for coding agents. Moves spent tool outputs to a local hash-checked stash the agent can recall, keeps every message byte for byte, and writes a JSON report of each cut. Offline, no API key. Tools: compact, compact_transcript, recall, inspect, prepare, explain, intake.

Local, read-only MCP server that provides verified access to bounded.tools' signed static API, including the Web-Build Conformance report and SPDX SBOM, with byte-for-byte verification against a Sigstore-signed manifest.

Enables AI coding agents to record and resume engineering work as durable, byte-exact threads of focus, decisions, evidence, and next steps.

Captures checkpoints of project files and SQLite tables before an AI agent makes risky changes, then reports differences and rolls them back byte-for-byte, including dropped tables and agent-created junk. Enables agents to snapshot, diff, list, and restore working state with explicit confirmation required before any destructive action.

Enables AI coding assistants to perform high-speed structural codebase analysis and dynamic context management by mapping repositories as byte-streams and detecting architectural chaos.

Enables AI agents to validate .tdc configs, generate deterministic test data files locally, locate language and country data packs, summarise generated files, and read the TDCv2 docs as MCP tools. Everything runs on the user's machine, producing identical output byte for byte on every run.

Provides a catalog of curated author writing styles and tools to blend or analyze them across eight dimensions for text and image prompt generation. It enables users to apply structured literary patterns through deterministic style modeling and coordinate-based interpolation.

Captures an agentic asset's foundational record as a single asset-record.json, including creation facts and author-only confirmed metadata. Provides MCP tools to record, read, and finalize provenance during asset development.

Enables AI agents to run WP-CLI commands on WordPress sites, including byte-faithful post and meta copying with checksum verification, over local Docker, Pantheon Terminus, or SSH.

A code review tool that generates detailed HTML review documents by comparing branches or commits, with author filtering and intelligent analysis.

Furl folds repeated tool output into a hash-addressed marker, keeps the line that matters, and returns any original byte-exact the moment the agent asks for it. No summary. No guessing. Nothing thrown away.

Enables validation of commit messages, branch names, author info, push safety, and repository state using commit-check rules, accessible as MCP tools.

AST-targeted code editing MCP server with 28 surgical tools for structural edits across 11 languages. Built on tree-sitter, replaces brittle search/replace with byte-correct edits keyed by symbol names.

This server enables agents to author fancy-flow workflows headlessly on a TypeScript host, with the same tools as the PHP version.

Enables inspection and verification of X.509 certificates and chains, CRLs, OCSP responses, CMS signatures and RFC 3161 timestamps, along with issuing certificates and CSRs, decoding ASN.1/PEM/OIDs, and opening PKCS#8 and PKCS#12 files without ever returning a key byte. Runs entirely offline with no network access, exposing 34 tools to any MCP client.

Test management over MCP: author test cases, run manual executions with per-case results, cut releases, and link automated tests to the cases they cover. Works against the hosted M00N Report service or a self-hosted instance.

Enables AI agents to convert Markdown documents and multi-file books into PDFs, recover Markdown from PDFs that embed their source, and open notes in a live preview GUI, all without a browser, LaTeX, or Pandoc. Each conversion returns the PDF plus page count and rendering diagnostics, and produces byte-identical output on every run.

Exposes a set of honesty SDK TypeScript libraries as MCP tools so a coding agent can check grounded citations, corroborate evidence, test payout and mutation invariance, score trust and anonymous authenticity, validate provenance claims, track a claims registry and tamper-evident audit chain, and grade recommendations against outcomes. It also scaffolds two runtime kits for agent authorization receipts and pre-call cost governance.

Enables AI assistants to author, debug, and run Snowfakery data generation recipes through the Model Context Protocol.

An MCP server for byte-preserving, surgical editing of Office documents (docx, pptx) via the GenOffice engine, enabling extraction, patching, creation, deletion, watermarking, and app/CDP-driven operations without breaking layout.

diagramzu-mcp lets an AI client (Claude, Cursor, ChatGPT, etc.) author Mermaid diagrams in a shared workspace that a team can read, comment on, embed, and present at a clean URL — rather than just generating a one-off diagram. Hosted endpoint https://mcp.diagramzu.ai/mcp or local npx -y @diagramzu/mcp. Also listed in the official MCP registry as ai.diagramzu/mcp.

Enables LLMs to author, validate, and render Blueprint Chart (.bpc) files with structured dataviz pedagogy and a tight parse + render feedback loop.

RSigma is a Rust detection-engineering toolkit for the Sigma standard. Its MCP server (rsigma mcp serve) exposes the toolchain to AI agents over stdio or Streamable HTTP, with tools to author, lint, validate, and convert Sigma rules, evaluate and explain detections against log events, and inspect correlation state.

Enables auditing URLs for AI crawler readiness, including 25,000-token RAG truncation, /llms.txt discovery, Lighthouse 13.5 ard-schema compliance, and JSON-LD entities, plus generating manifests and clean Byte-0 Markdown inside MCP clients.

Checks whether a coding agent's fix is really guarded by a test: check_fix takes the latest change back out of a copy of the project, runs its tests, and says whether any test noticed; ask_bite does the same for past fixes. Free, no API key.

MCP server for MDMA (Markdown Document with Mounted Applications) — interactive Markdown with forms, approval gates, tables, and more. Exposes the MDMA spec, authoring prompts, package metadata, and live docs to AI assistants so agents can author and integrate MDMA correctly.