Osv Dev
Server Details
OSV.dev — Google's open-source vulnerability database
- Status
- Unhealthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- pipeworx-io/mcp-osv-dev
- GitHub Stars
- 0
- Server Listing
- mcp-osv-dev
Frequently Asked Questions
Claiming proves that you control a remote MCP connector. It does not move, proxy, or interrupt the server.
Open the connector listing, choose Claim ownership, and sign in to Glama.
Complete one verification method:
GitHub identity — fastest for official registry listings. For a namespace such as
io.github.alice/server, link the matching GitHub user or an account that owns the GitHub organization, then choose Claim with GitHub.HTTP challenge — works when you can deploy a public file. Generate a token, publish the exact JSON Glama shows at
/.well-known/glama.jsonon the same origin as the connector, then choose Check HTTP challenge.DNS challenge — works when you control DNS but cannot change the server. Generate a token, create the exact TXT record Glama shows, wait for it to propagate, then choose Check DNS challenge.
After verification, Glama sends a confirmation email and gives you access to listing details, thumbnails, health checks, and analytics. Keep the HTTP file or DNS record in place: Glama periodically checks it and ownership remains verified while the token is discoverable.
The HTTP ownership file has this structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"claim": "glama_claim_..."
}Claim tokens are opaque, stable, and bound to the signed-in Glama account. They contain no email address or other personal information. If Glama can no longer discover a verified HTTP or DNS token, it starts a seven-day grace period before removing claim-based access. Restore the same token during that period to keep ownership verified. Never publish an email address, Glama session token, GitHub token, or connector credential as ownership proof.
If verification fails, confirm that you copied the current token exactly. The HTTP file must be public, return valid JSON with a successful HTTP response, and stay on the connector's origin. DNS changes may need more time to propagate. A claim cannot transfer to a different origin or hostname: if the connector target changes, Glama starts the grace period and the new target must be claimed separately after the previous claim is released.
For a connector linked to the official MCP Registry, registry updates continue to replace its name, description, and URL by default. After claiming, open Manage connector and enable Use Glama listing details as the source of truth if edits made on Glama should be preserved. Categories and thumbnails are always managed on Glama; registry linkage and technical connection settings continue to sync.
Control your server's listing on Glama, including description and metadata
Access analytics and receive server usage reports
Get monitoring and health status updates for your server
Feature your server to boost visibility and reach more users
To improve your MCP server's ranking:
Claim ownership of the server listing
Complete the server profile with an accurate description and thumbnail
Provide a test profile so Glama can connect to and evaluate the server
Keep tool definitions clear and complete to earn a high Tool Definition Quality Score (TDQS)
Route real usage through the Glama Gateway; more recorded successful server uses also improve the ranking
For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
Discussions
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Glama MCP Gateway
Add one secure layer between your agents and this server.
TDQS
Several tools form overlapping clusters that could confuse an agent: the three ask_pipeworx variants (base, beta, grounded) serve nearly identical routing purposes with beta explicitly identical to base, and the five polymarket_* tools cover related but distinct trading-adjacent functions. Descriptions are detailed and mostly disambiguate, but the sheer number of similar-sounding tools (31) increases the risk of misselection.
All names use snake_case and are descriptive, but the semantic pattern is inconsistent: some are verb_noun (compare_entities, discover_tools), some noun_noun (entity_profile, polymarket_edge_tracker), some single verbs (remember, recall, forget), and some adjective_noun (deep_research, recent_alerts). This mix is readable but lacks the uniform verb_noun structure of the high-coherence calibration example.
31 tools is above the 25+ threshold that feels heavy for most servers, but this is a comprehensive data-aggregation platform exposing a curated subset of 5,621 internal tools. The breadth justifies many of them, yet from an agent's perspective the surface is dense and could overwhelm; a more focused set with fewer overlapping utilities would improve usability.
The surface covers a wide range of domain operations: data lookup (ask_pipeworx), research (deep_research), entity profiling and comparison, claim verification, prediction markets, subscriptions, memory, and discovery. Minor gaps exist—for example, there is no explicit tool to fetch a raw record by pipeworx:// URI (though search_within can search inside already-fetched text), and web utilities like generate_llms_txt and scan_dependency feel tangential. Overall the core data workflows are well covered.