pump-portal-mcp-server

pump-portal-mcp-server is an MCP server package intended to expose “pump portal” functionality to AI agents via the Model Context Protocol. Specific tools, endpoints, authentication, and operational behaviors are not provided in the input, so capabilities can only be described at a high level.

Evaluated Apr 04, 2026 (27d ago)
Homepage ↗ Repo ↗ Automation mcp agent-integration automation
⚙ Agent Friendliness
35
/ 100
Can an agent use this?
🔒 Security
46
/ 100
Is it safe for agents?
⚡ Reliability
30
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
45
Documentation
30
Error Messages
0
Auth Simplicity
60
Rate Limits
10

🔒 Security

TLS Enforcement
50
Auth Strength
40
Scope Granularity
40
Dep. Hygiene
50
Secret Handling
50

No security-relevant documentation (TLS enforcement, auth method, scopes, secret handling, or dependency/SBOM posture) is included in the input, so scores reflect uncertainty.

⚡ Reliability

Uptime/SLA
0
Version Stability
50
Breaking Changes
50
Error Recovery
20
AF Security Reliability

Use Cases

  • Allow an MCP-capable agent to query or manipulate “pump portal” resources
  • Automate workflows that depend on pump portal data without direct custom integration

Not For

  • Use as a general-purpose public API without MCP support from the client
  • Production use where strict SLAs, documented error codes, and auth/rate-limit guarantees are required but not documented

Interface

REST API
No
GraphQL
No
gRPC
No
MCP Server
Yes
SDK
No
Webhooks
No

Authentication

OAuth: No Scopes: No

Authentication mechanism(s) are not specified in the provided input.

Pricing

Free tier: No
Requires CC: No

Pricing information is not provided.

Agent Metadata

Pagination
none
Idempotent
False
Retry Guidance
Not documented

Known Gotchas

  • Tool names/inputs/outputs and error semantics are not provided, so agents may not be able to reliably map actions and handle failures.
  • Without documented retry/idempotency guidance, agents may accidentally duplicate actions when re-issuing requests after timeouts.

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Scores are editorial opinions as of 2026-04-04.

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