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

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 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.

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.

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.

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 an LLM to author, validate, and test Wirefilter WAF and Smart Firewall rules using live schema and real CVE exploit templates.

Enables agents to triage Windows EVTX event logs, hunt with Sigma and Chainsaw rules, detect log tampering and timeline gaps, and author or lint detection rules. Results are returned as server-minted handles with paged summaries so tens of thousands of detections can be worked through without pulling raw logs into context.

This server enables decidable, hardware-attested semantic verification of AI outputs using on-chip ballistic walks, providing reproducible receipts that can be recomputed byte-for-byte.

Enables LLMs to author Maltego .mtgx graph files and perform OSINT lookups, with an optional transform layer for pivoting into MISP, TheHive, Cortex, and MITRE ATT\&CK directly in Maltego Desktop.

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 MCP clients such as Claude, ChatGPT and Cursor to answer business questions about sales, customers, orders and spreadsheets in natural language by reading live Postgres/SQLite databases and Google Sheets without exporting files or gaining write access. Guardrails include AST-based read-only SQL validation, read-only database roles, row/byte caps with pagination, PII masking, bearer-token auth for remote HTTP use, and a full JSONL audit log of every tool call.

Enables MCP agents to read files byte-for-byte from only the folders you explicitly share with them, returning a SHA-256 checksum with every read and keeping all your edits versioned while agents stay read-only.

Enables agents to run SELECT-only queries and inspect table metadata against configured databases via MCP Proxy, with timeouts, row and byte caps, and audit logging.

Enables AI agents to verify a human is physically present by ejecting the PC's optical drive tray and detecting when a person manually closes it within a configurable timeout.

Privacy-preserving feedback co-author for Claude Code that redacts sensitive data from session transcripts before submitting bug reports, ensuring only confirmed content is uploaded.

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 interact with IDA Pro for reverse engineering and binary analysis tasks, including executing Python scripts, retrieving strings, imports, exports, and functions, searching for immediate values, text, and byte sequences, and getting disassembly.

Resolves what an MCP tool call would do by planning it: it merges inputs, substitutes static placeholders or asks a model to author commands and queries, checks them against guardrails, and returns the masked plan with targets plus a dispatch verdict. It executes nothing and connects to no database, gateway, or queue, so it can run anywhere and be tested without infrastructure.

Enables secure text authoring and privacy-focused document processing through MCP. Provides tools for style analysis, conservative text revision, comparison with author samples, and removal of metadata from DOCX/PDF files.

Enables ChatGPT to retrieve public X posts, including text, author details, public metrics, and media metadata, through an authenticated MCP connection with structured diagnostics for retrieval failures.

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

Scans prompts for PII and masks or redacts sensitive data locally before sending to an LLM, supporting multiple anonymization modes.

Enables AI agents to discover, read and control smart-home devices from multiple vendors through a unified capability model, and to author and trigger YAML scenes that a local deterministic engine executes without the AI in the control loop. High-risk actions such as door locks and garage doors are held in a confirmation queue for a human, and every call is written to a local audit log.

Enables AI agents to run an out-of-band interaction session: obtain a persistent payload domain and unique injection hosts/URLs, then poll for captured DNS, HTTP, SMTP and LDAP callbacks with per-hunt cursors. This supports SSRF, blind RCE, XXE and log-poisoning verification during authorized bug-bounty and pentest work via a zero-dependency native Node.js client.