peering-mcp

io.github.LeonardMichalas/peering-mcp

About peering-mcp

peering-mcp is an MCP server published by the GitHub account LeonardMichalas. Who peers with whom, where they meet, and who an address range belongs to. PeeringDB and RDAP.

It runs on your own machine: your AI client starts it from the PyPI package peering-mcp at version 0.1.1.

It asks for one secret: PEERINGDB_API_KEY. Give it a key with the least access that still works.

Version 0.1.1 was published on 19 September 2026, and the source code is public, so you can read it before installing.

Written from the registry entry. 9 automated checks on the registry entry and the package code: 7 pass, 0 warn, 0 fail, 2 info. How we check.

What it asks for

VariableRequiredSecretDescription
PEERINGDB_API_KEYNoYesA free PeeringDB API key. Recommended, not required: it raises the rate limit, and every tool works without one.
PEERING_MCP_CACHE_TTLNoNoHow long a cached upstream response stays usable, in seconds.
PEERING_MCP_CACHE_DIRNoNoWhere the on-disk cache lives. Defaults to $XDG_CACHE_HOME/peering-mcp.
PEERING_MCP_NO_CACHENoNoSet to 1 to disable caching. Slower, and harder on the upstream APIs.
PEERING_MCP_TIMEOUTNoNoPer-request timeout in seconds.
PEERING_MCP_MAX_RETRIESNoNoAttempts before an upstream failure is reported.

Checks

CheckResultDetail
Source repository linkedPasshttps://github.com/LeonardMichalas/peering-mcp
Version pinnedPassEvery package has an explicit version
Secrets requestedInfoAsks for 1 secret: PEERINGDB_API_KEY
Known package registryPassAll packages come from npm, PyPI, OCI, NuGet or MCPB
Namespace ownershipInfoName verified via GitHub account LeonardMichalas
Registry text aimed at the AIPassDescription and settings contain no hidden characters or instructions to the AI
Install scriptsPasspeering-mcp 0.1.1 has no setup.py; nothing runs at install
Code red flagsPassRead 97 files in peering-mcp 0.1.1: no obfuscation, encoded execution, credential reads or data-collection endpoints found
Text aimed at the AIPassNo hidden characters or instructions to the AI in 97 files, including comments and the README

Popularity & health: 53 / 100

Worked out from public numbers and our own checks, not from user reviews or ratings. It says how used and how looked-after a server is, not whether it is safe.

Popularity5 / 40

0 GitHub stars, 25 downloads last week, no Hacker News posts found. Best two of the three, each on a log scale.

Activity20 / 25

Last push 2026-09-19, no GitHub release, 29 commits in 90 days.

Issue health8 / 15

0 closed of 0 issues, too few to judge. No data, so half marks.

Our checks20 / 20

0 warnings, each costing a fifth.

0 forks, 0 merged pull requests. Sources: GitHub, npm, PyPI (pypistats.org) and Hacker News (Algolia), fetched 2026-10-31.

What people say

No Hacker News threads link to its source code.

Look further: search Reddit, search Hacker News, read its GitHub issues. These are not reviews we checked.

Facts

Registry nameio.github.LeonardMichalas/peering-mcp
PublisherGitHub account LeonardMichalas
How the name is verifiedName verified via GitHub account LeonardMichalas. The registry ties the name prefix to that account or domain; it does not check the code.
TypeLocal: runs on your machine from a package
Packagespypi peering-mcp 0.1.1 (stdio)
Version0.1.1
Published
Last updated
Source repositoryhttps://github.com/LeonardMichalas/peering-mcp
Websitehttps://github.com/LeonardMichalas/peering-mcp
CategoryOther (assigned by keyword rule, not by hand)

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