"Using Azure DevOps for Task Queries and Code Reviews" matching MCP servers:

Enables querying Wisconsin state statutes by citation, returning the text of sections and subsections with precise citation anchoring.

Enables retrieving Revised Code of Washington statute text and headings by citation, returning the relevant section for numbers like 9A.32.030.

Enables querying Montana Code Annotated state statutes by citation via MCP, with both gateway and local stdio options.

Enables looking up Florida Statutes by section citation, returning the statute text, catchline, and amendment history.

Resolves Pennsylvania Consolidated Statutes citations to their chapter/section URLs and retrieves statute text, returning honest 404s for nonexistent sections.

Enables querying the Code of Virginia by citation to retrieve state statutes, verifying which citations are valid.

Enables retrieving full statutory text of United States Code sections by citation, listing all 54 titles and their subjects, and searching section headings by subject.

Enables looking up Oregon Revised Statutes by citation and distinguishing existing statutes from missing ones via MCP.

Enables retrieval of Massachusetts General Laws statutes by citation, allowing verification of statute existence and distinguishing valid from invalid references.

Enables retrieval of California statutes by citation, returning full statutory text, code location, and amendment history.

Enables retrieval of Missouri Revised Statutes by citation, returning the statute text for valid section numbers and confirming whether a cited section exists.

Enables retrieval of Kansas Statutes Annotated by citation, allowing AI agents to look up and apply state statute text via MCP.

Retrieves Ohio Revised Code statutes by section citation, returning statutory text and effective date.

MCP server that silently monitors state changes in structured data sources (e.g., government open data) and provides a pull-based channel for AI agents to retrieve real mutations since their last cursor.

Deterministic SNAP eligibility logic, exposed as auditable Model Context Protocol tools. An AI agent can read, reason, and orchestrate, but the eligibility determination itself is made by versioned, tested, cited code that a caseworker, an auditor, or a court can inspect.

Provides AI assistants with specialized tools to interact with NIST's Open Security Controls Assessment Language (OSCAL) framework. It enables agents to retrieve schemas, explore models, and generate valid OSCAL documentation for security compliance automation.

Enables retrieval of Nebraska Revised Statutes by citation, distinguishing valid statute hits from misses.

Enables retrieval of Maine Revised Statutes by citation, providing state statute information through MCP.

Enables AI agents to retrieve Michigan Compiled Laws statutes by citation from the official state source without requiring an API key.

Enables retrieval of Connecticut General Statutes by citation, resolving chapter references automatically from the state's title index.