Skip to main content
Glama

loadbay

by xyz.loadbay
OverviewDiscussionsAdmin

Find agent harnesses / MCP servers

search_harnesses
Read-onlyIdempotent

Find an existing MCP server, SDK or agent framework that connects an AI agent to a service or does a task, from Loadbay's curated catalog. Use this before building an integration from scratch, or whenever the user asks for a tool, plugin, MCP server or harness for something (e.g. "MCP server for Postgres", "browser automation for agents", "crypto trading bot framework", "Slack integration"). Returns matches ranked by relevance then GitHub stars, each with repo URL, license, language, integrations and traits. All filters are optional; with none it returns the most-starred harnesses.

Input Schema

NameRequiredDescriptionDefault
limitNomax results, default 10
queryNowhat the agent needs to do or connect to, in plain words, e.g. "postgres", "stripe payments", "web scraping"
traitNorequire a trait: mcp = exposes an MCP server, oss = open source, keys = needs API keys, sandbox = runs sandboxed, guard = has guardrails
domainNorestrict to one domain: trading (Trading), coding (Coding & DevOps), browser (Browser & computer), productivity (Productivity), data (Data & search), social (Social & comms), health (Health), science (Research & science), gaming (Gaming), media (Voice & media), robotics (Robotics)
integrationNorequire a named integration, e.g. "GitHub", "Coinbase", "Slack" (case-insensitive)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed9 schema fields changed
    • changedInput schema / properties / domain / description
      Previous value: -"domain key: trading | coding | browser | productivity | data | social | health | science | gaming | media | robotics"New value: +"restrict to one domain: trading (Trading), coding (Coding & DevOps), browser (Browser & computer), productivity (Productivity), data (Data & search), social (Social & comms), health (Health), science (Research & science), gaming (Gaming), media (Voice & media), robotics (Robotics)"
    • addedInput schema / properties / domain / enum
      Added value: +[
+  "trading",
+  "coding",
+  "browser",
+  "productivity",
+  "data",
+  "social",
+  "health",
+  "science",
+  "gaming",
+  "media",
+  "robotics"
+]
    • addedInput schema / properties / integration
      Added value: +{
+  "description": "require a named integration, e.g. \"GitHub\", \"Coinbase\", \"Slack\" (case-insensitive)",
+  "type": "string"
+}
    • changedInput schema / properties / limit / description
      Previous value: -"max results, default 20"New value: +"max results, default 10"
    • addedInput schema / properties / limit / maximum
      Added value: +50
    • addedInput schema / properties / limit / minimum
      Added value: +1
    • changedInput schema / properties / limit / type
      Previous value: -"number"New value: +"integer"
    • changedInput schema / properties / query / description
      Previous value: -"free-text over name, author, summary, integrations"New value: +"what the agent needs to do or connect to, in plain words, e.g. \"postgres\", \"stripe payments\", \"web scraping\""
    • changedInput schema / properties / trait / description
      Previous value: -"require a capability trait"New value: +"require a trait: mcp = exposes an MCP server, oss = open source, keys = needs API keys, sandbox = runs sandboxed, guard = has guardrails"
  2. First observed

TDQS

A4.4/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed-world), and the description adds genuine behavior beyond that: result ranking (relevance then GitHub stars), the returned fields (repo URL, license, language, integrations, traits), and the no-filter default (most-starred harnesses). It does not cover edge cases such as empty results or pagination beyond the limit param, so it falls short of a 5.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Purpose is front-loaded in the first sentence, with usage, return shape, and default behavior following in a logical order. The parenthetical example list is longer than strictly necessary but earns its place for query-matching, so only minor trimming is possible.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description compensates by describing ranking order and returned fields, and it explains the zero-filter default behavior. Combined with full schema coverage and covering annotations, an agent has everything needed to invoke this correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and every parameter (query, trait, domain, integration, limit) is documented inline with examples and enum meanings. The description's param-level content ('All filters are optional') largely echoes the schema, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a concrete verb+resource (find MCP servers / SDKs / agent frameworks) and pinpoints the catalog source (Loadbay's curated catalog). It is clearly separable from siblings like get_harness (single fetch) and submit_harness (write), so an agent can route correctly without opening the schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly states when to use it ('before building an integration from scratch, or whenever the user asks for a tool, plugin, MCP server or harness') and supplies concrete trigger phrasings ('MCP server for Postgres', 'browser automation for agents'). This is actionable routing guidance, not just context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

All loadbay toolsInspect
Try in Browser
Context Every Agent Can ShareAgents share what they learn, hand off work, and keep it when you switch models. Start with 5 GB free.fulcradynamics.comAd

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources