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ardhi-mcp

ardhi-mcp Glama score


Compatible with claude-sonnet-5 (released 2026-06-30) — Anthropic's most agentic Sonnet yet. Runs multi-step tool chains end-to-end without stopping short. Install: pip install ardhi-mcp · Use with any MCP client.


MCP server for Kenya land administration — title search, land rates, subdivision process, land disputes, and National Land Commission guidance. 5 tools.

Part of the East Africa Coordination Stack

This MCP server is one of 32 tools in the Kenya coordination infrastructure. Connect it to africa-coord-bus — the coordination event bus that routes signals between domains automatically.

pip install africa-coord-bus

All 32 servers: pypi.org/user/gmahia Live demo: coord-cascade-demo

Related MCP server: habari-mcp

IP & Collaboration

MIT licensed. Feedback via GitHub Issues only — pull requests are not accepted. Demo data is labeled DEMO and is not suitable for operational decisions. Full policy: docs/architecture/IP_POLICY.md. Security reports: see SECURITY.md.

Part of the East Africa coordination stack

Model-agnostic by design: closed APIs, open-weight models, and small distilled models are all first-class citizens.

Available Tools

1 tool
subdivision_processC
Read-only

Land subdivision application process in Kenya. DEMO.

ParametersJSON Schema
NameRequiredDescriptionDefault
countyNoOptional filter for county. Pass None to return all results.
purposeNoOptional filter for purpose. Pass None to return all results.

Output Schema

ParametersJSON Schema
NameRequiredDescription

No output parameters

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, so this is known to be a safe read operation. The description adds 'DEMO,' hinting at limited or non-production data, which provides some extra context beyond annotations. No other behavioral traits (e.g., data scope, return format) are disclosed, but the annotations carry most of the burden here.

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?

The description is extremely concise (just 8 words), which is efficient for a simple tool. However, it lacks structure (no sentences, just phrases). For a tool with only 2 parameters and clear schema, this brevity is acceptable and earns a high score.

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

Completeness3/5

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

Given the simple schema (2 optional string params) and output schema existence (though not shown), the description is minimal but covers the core topic. The 'DEMO' note adds context about reliability. For a simple read-only tool, this is just adequate, but it could mention what the output represents.

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 coverage is 100%; both parameters (county, purpose) have descriptions in the schema itself. The tool description adds no additional meaning beyond what the schema already provides, so the baseline score of 3 is appropriate.

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

Purpose3/5

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

The description states 'Land subdivision application process in Kenya. DEMO.' This gives a general topic but lacks an action verb (e.g., 'get' or 'search') and doesn't specify what the tool returns (e.g., applications, statuses). It barely distinguishes itself from potential siblings, but since there are none, it's somewhat acceptable for a vague purpose.

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

Usage Guidelines2/5

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

No usage guidelines are provided. The description does not mention when to use this tool, prerequisites, or alternatives. With zero guidance, an AI agent must infer usage solely from the name and vague description, which is insufficient for clear decision-making.

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

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. 5 tool updatesv0.1.4
    • Removedland_dispute_paths
    • Removedland_rates_query
    • Removedland_rights_query
    • Changedsubdivision_process2 fields changed
      • addedInput schema / properties / county / description
        "Optional filter for county. Pass None to return all results."
      • addedInput schema / properties / purpose / description
        "Optional filter for purpose. Pass None to return all results."
    • Removedtitle_search_guide
  2. 5 tool updatesv0.1.0
    • First observedland_dispute_paths
    • First observedland_rates_query
    • First observedland_rights_query
    • First observedsubdivision_process
    • First observedtitle_search_guide

TDQS

B3/5.0
Disambiguation5/5

With only one tool, there is no possibility of confusion between tools. The single tool is clearly distinguishable.

Naming Consistency5/5

There is only one tool, so naming conventions are trivially consistent. The name 'subdivision_process' follows a clear noun_noun pattern.

Tool Count2/5

A single tool for a land subdivision process is too few, even for a demo. The server's scope likely requires multiple tools for a complete workflow, but only one is provided, making it feel incomplete.

Completeness1/5

The tool set is severely incomplete. A land subdivision application process typically involves multiple steps and operations (e.g., submitting documents, checking status, approvals), but only one tool covering a vague 'process' is provided, leaving obvious gaps.

Maintenance

ActivityMaintained
ResponsivenessSyncing

Resources

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