nexus-mcp
The nexus-mcp server provides AI agents with direct access to U.S. government primary-source records, fact-checks, news search, and standing trackers via The Nexus platform.
nexus_record_lookup— Look up the public-record footprint of a person or organization across multiple U.S. government sources, including courts, SEC/EDGAR, OFAC sanctions, FEC records, lobbying disclosures, DOJ and FDA enforcement actions, and more — with per-document links.nexus_factcheck— Fact-check any plain-language claim against The Nexus's news corpus and public records. Returns a qualified verdict (e.g., Supported, Misleading, Contradicted), a rationale, a confidence level, and linked citations. Cached checks are instant; novel checks are rate-limited on the free tier.nexus_search— Full-text search across The Nexus news and government feed corpus, returning source-linked articles sorted newest first. The free tier covers the last 30 days, with a configurable result limit (up to 50).nexus_tracker— Retrieve the latest weekly synthesis from one of four standing trackers:china-watch(PRC-linked activity),underground(organized crime),graft(public corruption), orgrift(consumer fraud & scams).
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@nexus-mcplookup public records for Apple Inc."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
nexus-mcp
A Model Context Protocol server for The Nexus — give your AI assistant or agent direct access to U.S. government primary-source records, fact-checks, news search, and standing trackers.
What makes it different: most news/search MCP servers wrap headlines. The Nexus also puts the government record in your agent's hands — court filings, SEC/EDGAR, OFAC sanctions, FEC, lobbying disclosures, DOJ and FDA enforcement, and more — cross-referenced by entity and linked to the source document. Every result is primary-source-linked. Attribution to The Nexus is required when using the data.
Tools
Tool | What it does |
| Cross-source U.S. public-record footprint for a person or organization — courts, SEC/EDGAR, OFAC sanctions, FEC, lobbying, DOJ, FDA, and more — with per-document links and a connection teaser. |
| Qualified verdict + rationale + linked citations for a claim. Cached checks are instant & free; novel checks are rate-limited on the free tier. |
| Full-text search across The Nexus news corpus (free tier: last 30 days). |
| Latest weekly synthesis from |
Related MCP server: whetstone-mcp
Setup
Get a free, email-verified API key at https://thenexus.news/developers.
Install:
npm install -g @thenexusintel/mcp(or clone andnpm install).Add the server to your MCP client.
Claude Desktop / Claude Code
{
"mcpServers": {
"nexus": {
"command": "npx",
"args": ["-y", "@thenexusintel/mcp"],
"env": { "NEXUS_API_KEY": "nxs_live_your_key_here" }
}
}
}(Or point command/args at a local node /path/to/server.js.)
Free tier
Unlimited record / search / tracker calls and unlimited cached fact-checks; a small number of novel fact-checks per day. Higher volume and entity-graph depth are on the paid tier — see /developers.
Environment
Var | Required | Default |
| yes | — |
| no |
|
Security note: only set
NEXUS_API_BASEto a host you trust — it's where your key is sent. Leave it unset to use The Nexus.
License
MIT
Available Tools
4 toolsnexus_factcheckFact-check a claim against The NexusA
Check a factual claim against The Nexus's news corpus and public records. Returns a qualified verdict (Supported / Partly true / Misleading / Disputed / Unsupported / Contradicted / Not enough evidence), a rationale, a confidence level, and linked citations. Already-checked claims return instantly and free; novel checks are rate-limited on the free tier. Source: The Nexus.
| Name | Required | Description | Default |
|---|---|---|---|
| claim | Yes | The claim to check, in plain language |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden. It discloses the return format (verdict, rationale, confidence, citations) and the caching/rate-limiting behavior. This gives the agent sufficient understanding of the tool's execution characteristics.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is three sentences, each earning its place: the first defines purpose and output, the second adds constraints, the third states source. No redundant words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (one parameter, no output schema), the description covers all essential aspects: what it does, what it returns, and behavioral nuances (caching, rate limits). It is complete for an agent to decide whether and how to invoke it.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% (one parameter 'claim' is described as 'The claim to check, in plain language'). The description adds no additional meaning beyond the schema, meeting the baseline but not exceeding it.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description specifies a precise verb ('check'), a concrete resource ('The Nexus's news corpus and public records'), and the unique output (verdict types). It clearly distinguishes from sibling tools like nexus_search or nexus_record_lookup.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly states when to use the tool ('check a factual claim') and hints at constraints (instant for cached, rate-limited for novel). However, it does not explicitly state when not to use it or point to alternatives for non-fact-check queries.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
nexus_record_lookupLook up an entity's public recordA
Cross-source U.S. public-record footprint for a person or organization — courts, SEC/EDGAR, OFAC sanctions, FEC, lobbying, DOJ, FDA, and more — with document links and a connection teaser. Use this to answer 'what's on the record for X?'. Source: The Nexus.
| Name | Required | Description | Default |
|---|---|---|---|
| entity | Yes | Person or organization name, e.g. 'Tesla' |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It discloses that results include document links and a connection teaser, and that the source is U.S. public records. It does not detail pagination or error handling, but for a read-only lookup this is adequate.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise, using three sentences to convey purpose, scope, and usage guidance. No wasted words, and key information is front-loaded.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a single-parameter tool with no output schema, the description covers the sources, output contents (documents, teaser), and usage hint. It lacks details on return format or pagination, but is sufficient for the complexity level.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with a clear parameter description. The tool description reinforces that the entity is a person or organization but adds no additional semantic value beyond the schema. Baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool looks up a U.S. public-record footprint for a person or organization, listing specific sources (courts, SEC/EDGAR, etc.). It distinguishes from siblings like nexus_search (general search) by focusing on public records.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly says 'Use this to answer "what's on the record for X?"', providing a clear use case. It does not mention when not to use or compare to siblings, but the usage context is well-defined.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
nexus_searchSearch The Nexus news corpusA
Full-text search across The Nexus article corpus (news + government feeds), newest first. Free tier covers the last 30 days. Returns source-linked articles. Source: The Nexus.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | Search query | |
| limit | No | Max results (default 20) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description bears full responsibility. It mentions the free tier limitation (last 30 days) and sorting (newest first), which adds transparency, but does not disclose rate limits, whether results are paginated, or if authentication is needed. Adequate but not thorough.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, tight sentence that conveys purpose, scope, ordering, free tier limitation, and source. Every word earns its place; no redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given that the tool is a simple search with 2 parameters and no output schema, the description covers essential aspects: search domain, default ordering, free tier restriction, and return type. It could mention pagination or how to access older data, but it is largely complete for an agent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema already documents both parameters. The description adds no additional meaning beyond what the schema provides (e.g., does not explain how 'query' is processed or what 'limit' affects). Baseline score of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Full-text search across The Nexus article corpus (news + government feeds), newest first.' It specifies the resource (news + government feeds) and behavior (search, newest first), and is distinct from sibling tools like nexus_factcheck and nexus_tracker.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description does not provide explicit guidance on when to use this tool versus alternatives. It lacks statements like 'use this for searching articles; use nexus_factcheck for fact-checking' or any exclusion criteria.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
nexus_trackerLatest from a Nexus trackerB
The latest weekly synthesis from one of The Nexus's standing trackers: china-watch (PRC-linked activity), underground (organized crime / illicit economy), graft (public corruption), grift (consumer fraud & scams). Source: The Nexus.
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | Which tracker to read |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description bears full responsibility for behavioral disclosure. It only mentions the tool returns a 'weekly synthesis', but omits details on authentication, rate limits, data freshness, or potential errors. Minimal transparency beyond the basic function.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise, consisting of two sentences that efficiently convey the tool's purpose and the available trackers. No unnecessary words or repetition.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity with a single parameter and no output schema, the description adequately covers what the tool does and the options. However, it could mention the output format or that it returns text, but overall it is sufficient for its purpose.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema already describes the parameter 'name' with an enum and a brief description. The tool description adds significant value by explaining what each tracker covers (e.g., 'china-watch (PRC-linked activity)'), which exceeds the schema's minimal description and aids correct selection.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool retrieves the latest weekly synthesis from one of four named Nexus trackers, specifying the verb 'get' and the resource 'weekly synthesis'. However, it does not explicitly distinguish from sibling tools like nexus_factcheck, nexus_record_lookup, or nexus_search, though their names suggest different functions.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description lacks any guidance on when to use this tool versus alternatives. It neither states prerequisites nor gives examples of appropriate use cases, leaving the agent to infer usage solely from the tool name and description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
4 tool updates
v1.0.0- First observed
nexus_factcheck - First observed
nexus_record_lookup - First observed
nexus_search - First observed
nexus_tracker
TDQS
Scored across 4 tools
Each tool targets a distinct function: fact-checking claims, searching public records, searching articles, and retrieving weekly trackers. There is no overlap in purpose.
All tools follow a consistent 'nexus_<noun>' snake_case pattern, with descriptive names like factcheck, record_lookup, search, and tracker.
Four tools is well-scoped for a news and public records server, covering fact-checking, record lookup, search, and topic tracking without unnecessary bloat.
The tool set covers core workflows but lacks direct article retrieval by ID or more granular record types, which are minor gaps for a news corpus and public records server.
Maintenance
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