F
licenseNot graded
qualityB
maintenanceIntelligently routes AI tool calls (search, extract, browse) to the cheapest capable provider by default with automatic failover and audit receipts, enabling cost-effective agent workflows.
2
-
Agent Budget Router
Server Details
Budget-aware AI agent research router with provider selection, validation, and automatic fallback.
If you are the author of this connector, you can claim ownership by verifying the domain or GitHub account it belongs to. Claimed connector authors can inspect health checks, view analytics, and manage their listing.
- Status
- Healthy
- Uptime
- 100.0% over the last 24 hours
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- ChatGPT
- –
- Claude
- –
TDQS
B3.1/5.0
Scored across 2 tools
Disambiguation4/5
Execute_task and optimize_task both concern research tasks and provider selection, but one selects a free provider and the other executes using a validated paid provider. The boundary is mostly clear, though an agent could briefly confuse them if the descriptions are not read carefully.
Naming Consistency5/5
Both tools follow a consistent verb_noun snake_case pattern (execute_task, optimize_task). There are no deviations, making the naming predictable and easy to parse.
Tool Count3/5
Two tools is borderline thin for a server named 'Agent Budget Router'—one selects a provider and one executes. While each tool has a distinct role, the surface lacks supporting operations and feels minimal.
Completeness3/5
The core optimize-then-execute workflow is covered, but there is no way to check remaining budget, list available providers, or retrieve task status or history. These gaps could lead to overspending or dead ends for an agent.
Available Tools
2 toolsexecute_taskCInspect
Execute a research task using a validated provider. This tool costs $0.01 USDC per successful call.
Inputs: task (required), budget, provider.
optimize_taskCInspect
Choose the best available free provider for an AI-agent research task based on task relevance and budget.
Inputs: task (required), budget. Returns: task, error, budget, status, +7 more
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
Related MCP Connectors
Outcome-first agent fallback: free discovery, minimal routing, declared costs, verified execution.
Web search for AI agents — one tool across 6 engines, routed to the cheapest + cached.
Multi-LLM AI Research & Analysis — smart routing, consensus analysis, due diligence reports
Fan out deep research across multiple AI providers, synthesize into one unified report.
Related MCP Servers
- AlicenseAqualityBmaintenanceWeb search, page reading, deep research and image generation for agents, over 24 providers behind six MCP tools. Add your own API keys or browser sessions; each call goes to an account with quota left and fails over on errors.6383 npm10Apache 2.0
- AlicenseNot gradedqualityBmaintenanceEnables agents to run bounded research experiments across configurable model providers and search modes, with cost estimation, budget gating, durable paginated results, idempotent runs, and cancellation. Exposes seven tools for discovering targets, estimating and starting runs, polling status, and retrieving citations, sources, and usage from stored evidence.Apache 2.0
- AlicenseCqualityBmaintenanceOne endpoint, five search providers. Search broker for AI agents with automatic fallback, RRF ranking, and budget enforcement. The LiteLLM of web search.1553 PyPI8MIT
Try in Browser
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd
Glama MCP Gateway
Add one secure layer between your agents and this server.