#gov

MokeGongWen is an AI-powered writing tool for government and corporate entities, supporting 15 state-mandated document types. Features format templates, compliance verification, contextual requirement analysis, and style optimization to ensure precise, regulation-aligned official documentation.

A Model Context Protocol (MCP) server that enables AI agents to interact with the Tally API, providing access to DAO governance data, proposals, and metadata. Built with TypeScript and GraphQL, it offers a secure and efficient way to fetch and sort DAO information through standardized MCP functions.

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memory → preflight → action Preflight validation before every AI agent action. - Block unsafe memory before agents act on it - Stop dangerous drift propagation across agent fleets - Z3 formal verification (overridable: false) - F1=1.000 across 1,190+ adversarial corpus cases (R1-R11) - Co-benchmarked with @grok — Round 11 F1=0.979 on compound attacks - 4 independent detection layers: timestamp, identity, consensus, provenance Demo key: sg_demo_playground — no signup needed

You can track government spending over time, search government spending by agency, explore government spending to communities, and much more. While knowing the data is reliable since all data comes from the official source of government spending data.

Deterministic risk governance for crypto trading agents. Answers "How much can I risk?" with policy level, max position size, leverage limits, and blocked actions — computed from 9+ real-time data sources (on-chain, derivatives, macro, sentiment). Supports BTC and ETH. One tool: get_risk_policy.

An MCP server for the Congress.gov API that consolidates 91 operations into 6 comprehensive tools that can be used by any MCP client (i.e. Claude Desktop), or MCP-compatible AI agent, to query and reason about congressional data. It has: full coverage of the Congress.gov APi, an NPM published bridge to enable stdio on local MCP clients, a web server over http transport, authentication, account and API key management. Use cases organized by user type: Policy Professionals: - Track bills by keyword ("AI", "climate") - Monitor swing-state voting patterns - Research bill co-sponsors and amendments Government Affairs: - Daily briefings: "What happened in Congress yesterday?" - Voting history for upcoming meetings - Industry-specific legislative tracking Journalists: - Find voting pattern changes - Background research on members - Story leads from committee activities AI Workflows: - "Summarize all crypto bills and status" - Generate weekly legislative updates - Create talking points for hearings

TEOS MCP is an MCP server that performs real-time diff-level security scanning for AI agents and CI/CD pipelines. It analyzes code diffs before merge or deployment and returns a deterministic gate decision: ALLOW WARN BLOCK Built for: • AI agents • Autonomous systems • DevSecOps teams • CI/CD workflows Features: • Diff risk scoring • Deterministic merge gate • Real-time enforcement • Usage-based monetization (pay-per-scan) • Optional on-chain verification Unlike gateway filters, TEOS MCP performs code-level intelligence before execution.

MCP server to query clinicaltrial.gov to identify mutation specific trials

MCP server for accessing Israeli Government Open Data through data.gov.il Enables Claude and other AI assistants to search, discover, and analyze thousands of government datasets from Israel's open data portal.

The batteries-included, No-Code FinOps automation platform, with the AI you trust.

AI-Native Financial Network — Banking, trading, lending, governance & marketplace for autonomous AI agents. 120+ tools, real USDC/EURC, on-chain settlement.

Stop re-explaining your codebase every session. Delimit is the universal governance layer for AI coding assistants — persistent memory, tasks, and policy enforcement that works across Claude Code, Codex, Cursor, and Gemini CLI. 180+ MCP tools across 5 domains: governance (lint, diff, policy, semver), context (memory, ledger, sessions, handoffs), shipping (deploy, publish, rollback, changelog), observability (metrics, logs, alerts, status), and orchestration (multi-model deliberation, agent dispatch, swarm triggers). Core capabilities: 27-type deterministic breaking change detection for OpenAPI specs. Policy enforcement with strict/default/relaxed presets plus custom YAML rules. Cross-model session continuity — switch between Claude, Codex, Gemini, and Cursor without losing context. Multi-model deliberation where AI models debate until consensus. Git hooks, CI gates, and pre-commit governance. Zero-config onboarding with auto-detection of frameworks, specs, and test suites. Free tier includes API governance, persistent ledger, zero-spec extraction, and project scanning. Pro adds deliberation, security audit, test verification, encrypted vault, deploy pipeline, and agent orchestration. Install: npx delimit-cli setup

Governance and audit layer for MCP tool calls. TrustLoop intercepts every AI agent action, logs it to a tamper-evident audit trail, blocks unsafe tools via kill-switch, and anchors proof to the blockchain. Drop it into any MCP setup in minutes, no code changes required.

5 APIs behind one MCP server: task deduplication (DedupQ), cost prediction (BurnRate), output validation (QualityGate), behavioral governance (GuardRail), shared failure intelligence (PitfallDB). No signup needed. 1,000 free credits/month.

AI agents call LLMs, invoke tools, and hit APIs — but have no built-in way to cap spend. A single agent loop can burn hundreds of dollars before anyone notices. Cycles MCP Server gives any MCP-compatible agent a runtime budget authority: tools to check, reserve, spend, and release budget before and after every costly operation. Works with Claude Desktop, Claude Code, Cursor, Windsurf, and any MCP host. Supports per-tenant budgets, soft-landing caps, and automatic heartbeat for long-running operations.

Make your AI agents cheaper, faster, and more reliable. 5 products, 14 MCP tools, 1 API key. Task deduplication, cost prediction, output validation, behavioral governance, and shared failure intelligence. Anonymous demo mode — try all tools without a key. 1,000 free credits/month, no card required. https://plith.ai/.well-known/mcp/server-card.json

The guardian layer for AI agents. Scoped sessions with spend limits (Gate), AES-encrypted secrets (Vault), immutable audit trail with anomaly detection (Watch), and proxy mode that intercepts every MCP tool call for policy enforcement. Human-in-the-loop approvals, webhooks, 10 MCP tools, REST API. Works with Claude, Cursor, Windsurf, and any MCP client.

Adaptive security toolkit for AI agents. Assess inputs for prompt injection, scan outputs for credential/PII leaks, teach new attack patterns to semantic memory, harden prompts with role-lock and sandboxing, and monitor metrics — all locally via MCP. Zero false positives on benchmarks, 179 tests, Apache-2.0.

MCP server for SAM.gov: entity registration (UEI/CAGE lookups), exclusion and debarment checks, contract opportunities and sources sought, contract awards (FPDS replacement) with PIID lookup and modification history, federal hierarchy normalization, and FFATA subaward reporting. 19 tools.

Enterprise AI Control Plane — governance layer between your AI applications and providers. Spend tracking, runtime guardrails, policy enforcement, budget limits, compliance readiness (SOC2/GDPR/HIPAA), and real-time provider health. Works with Claude, ChatGPT, Copilot, and any MCP-compatible client.