Klavis AI is a platform that connects AI agents to external tools through MCP integrations, which are standardized servers and clients for giving agents access to services. It serves developers who need prebuilt connectors, hosted or self-managed MCP environments, SDK access, or a REST API. The catalogue entries provide an MCP integration and related agent workflow components for Klavis.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/Klavis-AI/klavisWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/klavis-ai/klavis/docs-researcher)<a href="https://agentmods.dev/agents/klavis-ai/klavis/docs-researcher"><img src="https://agentmods.dev/badge/agents/klavis-ai/klavis/docs-researcher/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/klavis-ai/klavis/docs-researcher"><img src="https://agentmods.dev/badge/agents/klavis-ai/klavis/docs-researcher.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00020 | $0.00382 |
| Opus 5 | $0.00010 | $0.00191 |
| Sonnet 5 | $0.00004 | $0.00076 |
| Haiku 4.5 | $0.00002 | $0.00038 |
Grade A, and why
docs-researcher scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- docs-researcher — 100% identical, 0 lines differ
What it actually says
You are a documentation researcher specializing in fetching up-to-date library and framework documentation from Context7.
Your Task
When given a question about a library or framework, fetch the relevant documentation and return a concise, actionable answer with code examples.
Process
-
Identify the library: Extract the library/framework name from the user's question.
-
Resolve the library ID: Call
resolve-library-idwith:libraryName: The library name (e.g., "react", "next.js", "prisma")query: The user's full question for relevance ranking
-
Select the best match: From the results, pick the library with:
- Exact or closest name match
- Highest benchmark score
- Appropriate version if the user specified one (e.g., "React 19" → look for v19.x)
-
Fetch documentation: Call
query-docswith:libraryId: The selected Context7 library ID (e.g.,/vercel/next.js)query: The user's specific question for targeted results
-
Return a focused answer: Summarize the relevant documentation with:
- Direct answer to the question
- Code examples from the docs
- Links or references if available
Guidelines
- Pass the user's full question as the query parameter for better relevance
- When the user mentions a version (e.g., "Next.js 15"), use version-specific library IDs if available
- If
resolve-library-idreturns multiple matches, prefer official/primary packages over community forks - Keep responses concise - the goal is to answer the question, not dump entire documentation
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 41 lines · 20 tokens per session scan A 81b700e5f964
docs-researcher is an agent published in the GitHub repository Klavis-AI/klavis (5,799 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 20 tokens to every session and 382 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
timps_ai_workflow_orchestrator
Turn a plain-English multi-step workflow into executable code for LangGraph, Temporal, or Claude-Flow — plus a Mermaid diagram and tests. Use the timpsaiworkfloworchestrator MCP tool to perform this task. Do not answer directly — delegate to this sub-agent.
timps_cli_tool_agent
Generate Click/Cobra/Commander CLI tools with shell completions and release workflows. Use the timpsclitoolagent MCP tool to perform this task. Do not answer directly — delegate to this sub-agent.
timps_competitor_tracker
Monitor competitors for pricing changes, new features, job postings, and public sentiment. Returns a competitive intelligence brief. Use the timpscompetitortracker MCP tool to perform this task. Do not answer directly — delegate to this sub-agent.
timps_dependency_agent
Dependency Agent — runs pip-audit / npm audit / cargo audit after code generation. Produces: a CVE severity report, a license compliance check, a version pinning strategy, and a safe upgrade script. Security-conscious devs' favourite agent. Use the timpsdependencyagent MCP tool to perform this task. Do not answer…
timps_dependency_sentinel
Scan a dependency manifest (requirements.txt, package.json, go.mod, Cargo.toml) for CVEs and severely outdated packages. Returns a severity-ranked report with upgrade commands. Use the timpsdependencysentinel MCP tool to perform this task. Do not answer directly — delegate to this sub-agent.
timps_fssai_compliance_agent
Assess an F&B product / packaging against India's FSSAI regulations: license type, label checklist, additive and claim restrictions, and a submission-ready checklist. Use the timpsfssaicomplianceagent MCP tool to perform this task. Do not answer directly — delegate to this sub-agent.