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

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

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.

Verum's MCP server turns any codebase into a deterministic, queryable fact layer — an agent can ask who calls a function, what a change impacts, where the dead code and duplicates are, which client calls hit which routes, and run a full security/quality audit. It returns byte-identical answers in a few hundred tokens instead of grepping and reading whole files.

Indexes a workspace into a graph of files, modules, symbols, SQL tables, API contracts, and CI/container files, then answers questions about it. Enables querying dependencies, affected tests, blast radius of a change, node focus, and diffs between refs, all read-only and within a configurable byte budget.

Enables AI agents to deterministically inspect, author, convert, validate, and diagnose Classical CAN and CAN FD databases and trace logs, including bit-layout validation, template generation, trace aggregation, ISO-TP/UDS reassembly, bus-health analysis, and reverse engineering.

Provides comprehensive Git repository insights including author statistics, branch health, and code churn analysis. It enables users to perform data-driven assessments of their codebase and track development patterns through the Model Context Protocol.

Enables PE coordinate and RVA-based driver analysis, structured evidence collection, and direct WinDbg pairing for debugging and runtime byte comparison from Binary Ninja.

Enables scanning repositories for TODO and FIXME markers while avoiding false positives in strings and URLs, then reports each marker’s age, author, and staleness using git blame and history. It also counts suppression signals, long functions, and commented-out code inside real comments.

Pattern-intelligence MCP server for ServiceNow Discovery that enables AI agents to read, search, validate, author, surgically edit, and reason about Discovery patterns, including NDL grammar, SNMP OIDs, data sources, and emulator blueprints.

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 clients to analyze per-file authorship and review data, identifying single-author and never-reviewed files and returning a deterministic risk map with at-risk paths and summary counts.

Enables AI agents to discover open-source libraries worth reusing through multi-signal repository ranking and to search real code with sub-50ms local regex/semantic queries federated to live GitHub, grep.app, and package-registry backends. It exposes seven tools over stdio—repo search, code search, repo profile/tree, file and docs fetching, and a usage guide—with structured filters, typed pre-execution errors, and a byte-identical CLI twin.

A local MCP server that gives AI coding agents precise, symbol-level context instead of whole-file reads, packing a target symbol with its causal neighborhood (callers, callees, imports, tests) and reporting token savings versus reading the file. It also enables surgical in-place edits of only the target symbol's byte range, impact analysis before signature changes, health review, and project gate execution.

Lets an AI assistant drive measured Amiga reverse-engineering instruments locally — mapping ADF disks, verifying and unpacking packer blocks, reading HUNK executables, walk-based 68000 disassembly and hardware-boundary scans, static recompilation to C, and headless vAmiga screenshots and breakpoint captures compared byte-for-byte. It exposes 18 path-based tools that never fetch anything or write outside the paths they are given, returning only measurements such as entropy maps, listings, and diffs.

MCP server providing seven tools for parsing, grammar validation, error explanation, fixture testing, plugin inspection, and grammar compatibility comparison, with byte-identical CLI and MCP outputs.

Enables editor-free contexts such as workers, gates, and sandbox agents to query pinned, deterministic language-server sessions for diagnostics, hover, definitions, references, symbols, and rename previews, with canonically ordered, byte-bounded results. Optionally exposes gated, off-by-default code-action and rename application through single-use handles and version-drift checks.

Enables AI agents to infer unknown binary file formats from sample files by probing, comparing, and validating byte-level evidence, then emitting specifications, Kaitai Struct definitions, parsers, and tests.

Enables AI assistants to interact with IDA Pro for reverse engineering and binary analysis tasks, including executing Python scripts, retrieving binary metadata, searching values and byte sequences, and obtaining disassembly.

Enables AI assistants to remotely drive IDA Pro for reverse engineering and binary analysis, including script execution, binary metadata retrieval, value/text/byte searches, and disassembly.

Enables AI assistants to remotely control IDA Pro for reverse engineering and binary analysis tasks, including executing Python scripts, retrieving strings, imports, exports, and functions, searching for immediate values, text, or byte sequences, and getting disassembly for address ranges. Communication runs through a local HTTP plugin on 127.0.0.1 for secure, standardized automation.

Enables AI assistants to interact with IDA Pro for reverse engineering and binary analysis, including executing Python scripts, retrieving strings/imports/exports/functions, searching immediates/text/byte sequences, and getting disassembly.

Enables AI assistants to interact with IDA Pro for reverse engineering and binary analysis tasks. Supports executing Python scripts, retrieving binary strings, imports, exports, and functions, and searching immediate values, text, and byte sequences, plus disassembly.

An MCP server for efficient code indexing and symbol retrieval using tree-sitter AST parsing to fetch specific functions or classes without loading entire files. It significantly reduces AI token costs by providing O(1) byte-offset access to code components across multiple programming languages.

Enables AI assistants to interact with IDA Pro for reverse engineering and binary analysis, including executing Python scripts, retrieving strings/imports/exports/functions, searching values/text/byte sequences, and obtaining disassembly.

Enables AI assistants to automate reverse engineering and binary analysis by running scripts, retrieving metadata, searching values, text, and byte sequences, and reading disassembly.

Enables AI assistants to interact with IDA Pro for reverse engineering and binary analysis, including executing Python scripts, extracting strings/imports/exports/functions, searching immediate values/text/byte sequences, and retrieving disassembly.

Enables AI assistants to remotely drive IDA Pro for binary analysis, including executing Python scripts, listing strings, imports, exports, and functions, searching for immediate values, text, or byte sequences, and retrieving disassembly for address ranges.

Enables AI assistants to control IDA Pro for reverse engineering and binary analysis by running Python scripts and querying binaries. It supports retrieving strings, imports, exports, and functions, searching immediate values, text, and byte sequences, and getting disassembly for address ranges over a secure local HTTP bridge.

This MCP server provides a tool to analyze git repository hotspots, returning a sorted list of files with risk scores based on change frequency and author count.

Enables AI assistants to drive IDA Pro for reverse engineering and binary analysis by executing Python scripts and querying binaries for strings, imports, exports, and functions. It also supports searching immediate values, text, and byte sequences, and retrieving disassembly over address ranges.