com.mcparmory/linkup
PYPI · MCPARMORY-LINKUP · 2 COMPONENTS · SCANNED SEP 20
Search the web and fetch pages with sourced results, optimized for AI agents
Available components
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security37
- Malware scan not yet available for this package.Unverified
- No known CVEs affecting this package version or its production dependencies.Pass
- Install-script risk not yet assessed.Unverified
- 2 of 41 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency32
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- License check failed: the license (MIT License) isn't a recognized OSI-approved license. See how to fix → Fail
- Actively maintained (last published 130 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability65
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 1241 tokens (~206/item across 6 items; 6 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management87
- Stability observed for 26 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 6 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 6 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a current MCP spec version (2026-07-28).Pass
How do I install the com.mcparmory/linkup MCP server?
com.mcparmory/linkup runs locally as a PyPI package, launched with uvx mcparmory-linkup. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · mcparmory-linkup
claude mcp add com-mcparmory-linkup -- uvx mcparmory-linkup
{
"mcpServers": {
"com-mcparmory-linkup": {
"command": "uvx",
"args": [
"mcparmory-linkup"
]
}
}
} {
"servers": {
"com-mcparmory-linkup": {
"command": "uvx",
"args": [
"mcparmory-linkup"
]
}
}
} codex mcp add com-mcparmory-linkup -- uvx mcparmory-linkup
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"com-mcparmory-linkup": {
"type": "local",
"command": [
"uvx",
"mcparmory-linkup"
],
"enabled": true
}
}
} openclaw mcp add com-mcparmory-linkup --command uvx --arg mcparmory-linkup
mcp_servers:
com-mcparmory-linkup:
command: "uvx"
args: ["mcparmory-linkup"] {
"McpServers": {
"com-mcparmory-linkup": {
"Transport": "stdio",
"Command": "uvx",
"Arguments": [
"mcparmory-linkup"
]
}
}
} assistant mcp add com-mcparmory-linkup -t stdio -c uvx -a mcparmory-linkup
{
"mcpServers": {
"com-mcparmory-linkup": {
"command": "uvx",
"args": [
"mcparmory-linkup"
]
}
}
} Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 19 Sept 26 −2
- Stability: pass → 0.83 functional
- 18 Sept 26 −15
- Malware scan: pass → unverified ▼ security
- Stability: 0.97 → pass security
- 17 Sept 26 +16
- Malware scan: unverified → pass ▲ security
- 15 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 87 to 90. That category is still filling its 30-day observation window: 26 days of observed history at the previous scan, 27 at this one. The score rises as the window fills, whether or not the server changes.
- 14 Sept 26 −15
- Malware scan: pass → unverified ▼ security
- 13 Sept 26 +16
- Malware scan: unverified → pass ▲ security
- 12 Sept 26 −15
- Malware scan: pass → unverified ▼ security
- 11 Sept 26 −3
- Stability: pass → 0.77 functional
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 20 Sept 2026 · Analysed pypi/mcparmory-linkup@1.0.2
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | pypi |
Background: How many MCP packages publish verified provenance →
Dependencies 41 packages
| Packages resolved | 41 |
|---|---|
| Stale | 1 |
| No linked repository | 1 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
create_research_task Create Research Task ~503
Creates an asynchronous web research task that performs comprehensive research based on a natural language question. Returns structured or sourced answers with optional filtering by date range, domains, and result count.
| Name | Type | Req | Description |
|---|---|---|---|
| excludeDomains | array | – | Exclude specific domains from the search results. Provide domain names to filter out (e.g., 'wikipedia.com'). By default, no domains are excluded. |
| fromDate | string | – | Filter results to only include sources published on or after this date, specified in ISO 8601 format (YYYY-MM-DD). Must be after 1970-01-01 and before `toDate` if both are provided. |
| includeDomains | array | – | Restrict search to specific domains only. Provide up to 100 domain names (e.g., 'microsoft.com', 'github.com'). By default, all domains are searched. |
| includeImages | boolean | – | Set to `true` to include relevant images in the research results. Defaults to `false`. |
| includeInlineCitations | boolean | – | When using `sourcedAnswer` output type, set to `true` to include inline citations within the answer text. Defaults to `false`. |
| includeSources | boolean | – | When using `structured` output type, set to `true` to include source citations in the response. Note that enabling this modifies the response schema structure. Defaults to `false`. |
| maxResults | number | – | The maximum number of search results to return. The actual number of results returned will not exceed this value. |
| outputType | string | yes | The format for the research response. Use `sourcedAnswer` for a natural language answer with optional citations, or `structured` for a custom-formatted response matching the provided `structuredOutpu… |
| q | string | yes | The natural language question or research topic you want to investigate. Examples: 'What is Microsoft's 2024 revenue?' or 'Latest developments in quantum computing'. |
| structuredOutputSchema | string | – | A JSON schema (as a string) defining the desired response structure when using `structured` output type. The schema root must be an object type. Required only when `outputType` is set to `structured`. |
| toDate | string | – | Filter results to only include sources published on or before this date, specified in ISO 8601 format (YYYY-MM-DD). Must be after 1970-01-01 and after `fromDate` if both are provided. |
No output schema declared.
No examples provided.
get_credits_balance Get Credits Balance ~30
Retrieve your current account credits balance. This endpoint returns the total number of credits available in your account.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
get_research Get Research ~50
Retrieves detailed information about a specific research task by its identifier. This endpoint is currently in beta and may be subject to changes.
| Name | Type | Req | Description |
|---|---|---|---|
| id | string | yes | The unique identifier of the research task to retrieve. |
No output schema declared.
No examples provided.
get_webpage Get Webpage ~156
Fetch and parse a single webpage from a given URL, with optional JavaScript rendering, raw HTML inclusion, and image extraction.
| Name | Type | Req | Description |
|---|---|---|---|
| extractImages | boolean | – | Whether to extract and return images found on the webpage. Disabled by default; enable to retrieve image URLs and metadata. |
| includeRawHtml | boolean | – | Whether to include the raw HTML markup in the response. Disabled by default; enable if you need the unprocessed HTML source. |
| renderJs | boolean | – | Whether to render JavaScript before extracting content. Disabled by default; enable for dynamic pages that require script execution. |
| url | string | yes | The full URL of the webpage to fetch (must be a valid URI format, e.g., https://example.com). |
No output schema declared.
No examples provided.
list_research_tasks List Research Tasks ~36
Retrieve all research tasks created within your authenticated organization with pagination support. This endpoint is currently in beta and may be subject to changes.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
search_web_content Search Web Content ~466
Retrieve web content by natural language query with configurable search depth, output formatting, and result filtering. Supports structured responses, date ranges, domain filtering, and optional citations or images.
| Name | Type | Req | Description |
|---|---|---|---|
| depth | string | yes | Controls search precision and comprehensiveness. Use `fast` for quick, focused queries; `standard` for broader multi-topic queries with agentic search; `deep` for comprehensive results across multipl… |
| excludeDomains | array | – | Exclude specific domains from search results. By default, no domains are excluded. |
| fromDate | string | – | Filter results to content published on or after this date, specified in ISO 8601 format (YYYY-MM-DD). Must be after 1970-01-01 and before the `toDate` if provided. |
| includeDomains | array | – | Restrict search to specific domains only. Provide up to 100 domain names. By default, all domains are searched. |
| includeImages | boolean | – | Include images in the search results alongside text content. |
| includeInlineCitations | boolean | – | When using `sourcedAnswer` output type, include inline citations within the answer text to indicate source attribution. |
| includeSources | boolean | – | When using `structured` output type, include source citations in the response. Note that enabling this modifies the response schema structure. |
| maxResults | number | – | The maximum number of results to return. The actual number of results returned will not exceed this value. |
| outputType | string | yes | Specifies the response format. Use `searchResults` for raw search results, `sourcedAnswer` for an answer with source attribution, or `structured` for a custom JSON format defined by `structuredOutput… |
| q | string | yes | The natural language question or search query for which you want to retrieve web content. |
| structuredOutputSchema | string | – | A JSON schema (as a string) defining the desired response structure when using `structured` output type. The root element must be an object type. |
| toDate | string | – | Filter results to content published on or before this date, specified in ISO 8601 format (YYYY-MM-DD). Must be after 1970-01-01 and after the `fromDate` if provided. |
No output schema declared.
No examples provided.
What is the com.mcparmory/linkup MCP server?
com.mcparmory/linkup is an MCP server listed in the public MCP registry as com.mcparmory/linkup. Search the web and fetch pages with sourced results, optimized for AI agents. This page covers its PyPI package (mcparmory-linkup).
Is the com.mcparmory/linkup MCP server safe to use?
com.mcparmory/linkup scores 59 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 September 2026. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the com.mcparmory/linkup MCP server expose?
com.mcparmory/linkup exposes 6 tools: get_credits_balance, get_webpage, search_web_content, list_research_tasks, create_research_task, get_research. Their descriptions and schemas cost roughly 1,241 tokens of context every time the server is loaded.
Is the com.mcparmory/linkup MCP server still maintained?
com.mcparmory/linkup is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.