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

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.

Enables safe, confirmable Proxmox operations: read-only cluster/guest status and bounded power actions and snapshot creation, with explicit byte-for-byte approval for each mutation.

Enables analysis of academic author networks and research collaborations by retrieving co-authors and research keywords from sources like Semantic Scholar, OpenAlex, Crossref, and Google Scholar.

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.

Lets AI agents estimate the cost and result size of BigQuery and Snowflake queries before they run, then execute them only within per-call byte, row, and dollar bounds. Estimates are labeled with an accuracy tier so agents never over-trust an approximate figure.

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.

Enables searching roughly 170 million scholarly works and resolving DOIs into normalized metadata, complete with citation formatting in any style, reference and citing-work snowballing, and author, journal, funder and topic profiles. It also extracts and verifies DOIs from messy text and exports bibliographies as BibTeX, RIS or CSL-JSON.

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.

MCP server for on-disk patching of binary artifacts with SHA-256 manifest, byte-level patch application, and manifest-driven restore, ensuring auditability and reversibility.

Enables AI agents to query Trino and Apache Pinot lakehouses under enforced governance, where every SQL statement is AST-validated, table-allowlisted, priced from the engine's own plan before it runs, and blocked or admitted against scan-byte and intermediate-row budgets. It also grounds agents with schema discovery tools, returns verified results with warnings instead of misleading answers, and records every tool call on an audit trail.

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.

Exposes NCBI PubMed as MCP tools for searching literature, fetching abstracts, exploring citation graphs, and finding author publications without requiring an API key.

Enables searching the Kakao Daum Book Search API by title, author, publisher, or ISBN, retrieving detailed bibliographic and pricing metadata, and exporting results to xlsx, csv, json, or sqlite through MCP or CLI.

Enables searching the YÖK National Thesis Center and retrieving thesis contents in Markdown format for LLM applications. It allows users to perform detailed searches based on criteria like author, university, and subject while providing programmatic access to thesis metadata and PDF content.

MCP server to search and retrieve mathematical publications, author profiles, and software entries from zbMath Open.

Author rules from policy docs, then decide: a Rete engine gives the verdict, an LLM explains why.

Enables users to find books by keyword, ISBN, or author and check which branches hold copies of them and whether those copies are currently available for loan or when they are due back. Currently covers Shanghai's interlinked public library network of 900+ locations, with a design open to additional cities.

Connects a Zotero research library to AI assistants so users can search items by title, author, tag, collection, full text, or meaning, read metadata and PDF content, add annotations, and add or organize papers by DOI, URL, ISBN, or BibTeX. It works in local or web mode and is available both as an MCP server for chat apps and as a CLI plus agent skill for shell-based agents.

An MCP server for driving an ITS session on a PiDP-10 emulator over raw TCP, supporting persistent connections, raw control-byte transmission, and escape syntax for DDT commands. It enables interaction with ITS systems through natural language via MCP tools like open, send, read, and status.

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

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

An MCP server for academic literature research that integrates Scopus, CrossRef, OpenAlex, and Unpaywall to search documents, get abstracts, author profiles, citing papers, and open-access PDF links.

A read-only MCP server for Goodreads that enables LLMs to search for books, retrieve detailed book info with ratings and reviews, and explore recommendations, series, and author bibliographies using public data sources without requiring authentication.

Enables fetching and parsing news articles from URLs, extracting title, text, author, and publication date.

Enables AI assistants to work with local .ics calendar files over MCP, including agenda and search, free-time and conflict detection, DST-correct recurrence, and byte-preserving safe edits without accounts or network access.

Enables MCP-compatible agents to retrieve predictive port congestion signals, including congestion scores, ETA delays, waiting vessels, and freight volatility for supported ports, allowing supply chain risk assessment and informed decision-making.

Search and read arXiv papers directly from Claude. Supports keyword, author, category, and date filtering plus full PDF text extraction so Claude can read, summarise, and reason over entire papers, not just abstracts.

Enables AI agents to turn live web pages or supplied HTML into clean, main-content Markdown with title, author, date and language metadata. It respects robots.txt and AI opt-outs, reporting refusal reasons, quota, and plain-language errors back to the agent.